Le traduzioni sono generate tramite traduzione automatica. In caso di conflitto tra il contenuto di una traduzione e la versione originale in Inglese, quest'ultima prevarrà. # Modelli di fondazione disponibili Amazon SageMaker JumpStart offre modelli di base proprietari all'avanguardia, integrati e disponibili al pubblico da personalizzare e integrare nei flussi di lavoro di intelligenza artificiale generativa. Per elencare tutti i modelli di base disponibili: JumpStart ``` import boto3 sagemaker_client = boto3.client("sagemaker", region_name="us-west-2") # List all available models in the SageMakerPublicHub all_models = [] next_token = None while True: params = {"HubName": "SageMakerPublicHub", "HubContentType": "Model"} if next_token: params["NextToken"] = next_token response = sagemaker_client.list_hub_contents(**params) all_models.extend(response["HubContentSummaries"]) next_token = response.get("NextToken") if not next_token: break print(f"Total models available: {len(all_models)}") for model in all_models[:5]: print(model["HubContentName"], model["HubContentVersion"]) ``` Per ottenere i tipi di istanza supportati e altri metadati per un modello specifico: ``` import json import boto3 sagemaker_client = boto3.client("sagemaker", region_name="us-west-2") model_id = "meta-textgeneration-llama-3-3-70b-instruct" response = sagemaker_client.describe_hub_content( HubName="SageMakerPublicHub", HubContentType="Model", HubContentName=model_id ) # Parse the model metadata model_doc = json.loads(response["HubContentDocument"]) print(f"Supported instances: {model_doc['SupportedInferenceInstanceTypes']}") print(f"Default instance: {model_doc['DefaultInferenceInstanceType']}") ``` Le tabelle seguenti elencano i modelli disponibili con la relativa licenza e i tipi di istanze di inferenza supportati al 30 aprile 2026. Per le informazioni più aggiornate, utilizzate gli esempi di API riportati sopra o consultate il Model Hub in SageMaker Studio. ------ #### [ Open-Weight Models (417) ] Open-weight i modelli di base sono modelli disponibili al pubblico di fornitori come Meta, Google, Mistral AI e altri. Puoi implementare, perfezionare e personalizzare questi modelli in base al tuo caso d'uso. Per iniziare con uno di questi modelli, consulta [JumpStart utilizzo del modello di base](jumpstart-foundation-models-use.md) o esplora uno dei modelli disponibili. [Notebook di esempio](jumpstart-foundation-models-example-notebooks.md) In un determinato taccuino di esempio, prova a cambiare l'ID del modello per sperimentare diversi modelli all'interno della stessa famiglia di modelli. Per ulteriori informazioni sugli ID dei modelli e sulle risorse sulla distribuzione di modelli di JumpStart base disponibili pubblicamente con l' SageMaker PythonSDK, consulta. [Utilizzate i modelli di base con SageMaker Python SDK](jumpstart-foundation-models-use-python-sdk.md) | Provider | Nome modello | ID modello | Operazione | Licenza | Fine-tunable | Tipi di istanze di inferenza supportati | | --- | --- | --- | --- | --- | --- | --- | | 01-Ai | Yi-1.5-34B | huggingface-llm-yi-1-5-34b | Generazione di testo | apache-2.0 | No | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.p4d.24xlarge | | 01-Ai | Yi-1.5-9B | huggingface-llm-yi-1-5-9b | Generazione di testo | apache-2.0 | No | ml.g5.12xlarge, ml.g5.16xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p5.48xlarge | | Ahxt | Lite Llama 460M 1T | huggingface-llm-ahxt-litellama-460m-1t | Generazione di testo | mit | No | ml.g5.2xlarge | | Ai-Forever | Multilingual GPT | huggingface-llm-ai-forever-mgpt | Generazione di testo | apache-2.0 | No | ml.g5.2xlarge | | È Singapore | Istruzioni Llama3 8B v2.1 SEA-Lion | huggingface-llm-llama3-8b-sealionv21-instruct | Generazione di testo | lama 3 | No | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g6.12xlarge, ml.g6.24xlarge, ml.g6.48xlarge, ml.g6.4xlarge, ml.g6.8xlarge, ml.p4d.24xlarge, ml.p5.48xlarge, ml.p5.48xlarge grande | | A Singapore | SEA-LION 3B | huggingface-llm-sealion-3b | Generazione di testo | mit | No | ml.g4dn.2xlarge, ml.g4dn.xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.xlarge, ml.p3.8xlarge | | È Singapore | SEA-LION 7B | huggingface-llm-sealion-7b | Generazione di testo | mit | No | ml.g4dn.12xlarge, ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.p4d.24xlarge | | È Singapore | SEA-LION 7B Istruisci | huggingface-llm-sealion-7b-instruct | Generazione di testo | mit | No | ml.g4dn.12xlarge, ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.p4d.24xlarge | | Alibaba-Nlp | Alibaba-NLP prendere- Qwen2-7B-instruct | huggingface-textembedding-gte-qwen2-7b-instruct | Incorporamento del testo | Apache-2.0 | No | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.xlarge, ml.g6.12xlarge, ml.g6.24xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.8xlarge, ml.g6.xlarge, ml.p4d.24xlarge | | Allenai | Olmo-3-7B-Instruct | huggingface-textgeneration-olmo-3-7b-instruct | Generazione di testo | Apache 2.0 | No | ml.g6e.24xlarge | | Amazon | Cronos 2 | pytorch-forecasting-chronos-2 | Previsione delle serie temporali | apache-2.0 | No | ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.xlarge, ml.g5.2xlarge, ml.g5.xlarge, ml.g6.xlarge, ml.g6xlarge, ml.g6e.2xlarge, ml.g6xlarge, ml.g6xlarge, ml.g6xlarge, ml.g6xlarge, ml.g6xlarge, ml.g6xlarge, ml.g6xlarge, ml.g6xlarge, ml.g6xlarge, ml.g6xlarge, ml.g6xlarge, ml.g6xlarge, ml.g6xlarge, ml.g6xlarge, ml.ge.xlarge, ml.m5.2xlarge, ml.m5.4xlarge, ml.m5.xlarge | | Amazon | Falcon Lite | huggingface-llm-amazon-falconlite | Generazione di testo | apache-2.0 | No | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge | | Amazon | Falcon Lite 2 | huggingface-llm-amazon-falconlite2 | Generazione di testo | apache-2.0 | No | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge | | Amazon | Mistral Lite | huggingface-llm-amazon-mistrallite | Generazione di testo | apache-2.0 | No | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.p4d.24xlarge | | Autogluon | Chronos-Bolt (Base) | autogluon-forecasting-chronos-bolt-base | Previsione delle serie temporali | apache-2.0 | No | ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.xlarge, ml.m5.2xlarge, ml.m5.4xlarge, ml.m5.4xlarge, ml.m5.4xlarge, ml.m5.4xlarge, ml.m5.4xlarge xlarge, ml.p3.2xlarge | | Autogluon | Chronos-Bolt (Piccolo) | autogluon-forecasting-chronos-bolt-small | Previsione delle serie temporali | apache-2.0 | No | ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.xlarge, ml.m5.2xlarge, ml.m5.4xlarge, ml.m5.4xlarge, ml.m5.4xlarge, ml.m5.4xlarge, ml.m5.4xlarge xlarge, ml.p3.2xlarge | | Autogluon | Chronos-T5 (Base) | autogluon-forecasting-chronos-t5-base | Previsione delle serie temporali | apache-2.0 | No | ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.xlarge, ml.p3.2xlarge | | Autogluon | Chronos-T5 (Grande) | autogluon-forecasting-chronos-t5-large | Previsione delle serie temporali | apache-2.0 | No | ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.xlarge, ml.p3.2xlarge | | Autogluon | Chronos-T5 (Piccolo) | autogluon-forecasting-chronos-t5-small | Previsione delle serie temporali | apache-2.0 | No | ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.xlarge, ml.p3.2xlarge | | Baai | BAAI bge-base-it1.5 | huggingface-textembedding-bge-base-en-v1-5 | Incorporamento del testo | NEBBIA | No | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.xlarge, ml.g6.12xlarge, ml.g6.24xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.8xlarge, ml.g6.xlarge, ml.p4d.24xlarge | | Baai | BGE Base En | huggingface-sentencesimilarity-bge-base-en | Somiglianza di frasi | mit | Sì | ml.c6i.xlarge, ml.g4dn.2xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | Baai | BGE Base En V1.5 | huggingface-sentencesimilarity-bge-base-en-v1-5 | Somiglianza di frasi | mit | Sì | ml.c6i.xlarge, ml.g4dn.2xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | Baai | BGE Large En | huggingface-sentencesimilarity-bge-large-en | Somiglianza di frasi | mit | Sì | ml.c6i.xlarge, ml.g4dn.2xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | Baai | BGE Large En V1.5 | huggingface-sentencesimilarity-bge-large-en-v1-5 | Somiglianza di frasi | mit | Sì | ml.c6i.xlarge, ml.g4dn.2xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | Baai | BGE M3 | huggingface-sentencesimilarity-bge-m3 | Somiglianza di frasi | mit | Sì | ml.c6i.xlarge, ml.g4dn.2xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | Baai | BGE Small End | huggingface-sentencesimilarity-bge-small-en | Somiglianza di frasi | mit | Sì | ml.c6i.xlarge, ml.g4dn.2xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | Baai | BGE Small End V1.5 | huggingface-sentencesimilarity-bge-small-en-v1-5 | Somiglianza di frasi | mit | Sì | ml.c6i.xlarge, ml.g4dn.2xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | Berkeley-Nest | Starling LM 7B alfa | huggingface-llm-berkeley-nest-starling-lm-7b-alpha | Generazione di testo | apache-2.0 | No | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge | | Bharatgenai | Param2-17B-A2.4B-Thinking | huggingface-llm-param2-17b-a2-4b-thinking | Generazione di testo | | No | ml.g7e.2xlarge, ml.g7e.4xlarge, ml.g7e.8xlarge | | Bigcode | StarCoder | huggingface-llm-starcoder | Generazione di testo | codice grande - openrail-m | No | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.p4d.24xlarge | | Bigcode | StarCoderBase | huggingface-llm-starcoderbase | Generazione di testo | codice grande - openrail-m | No | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.p4d.24xlarge | | Grande scienza | Bloom 1b1 | huggingface-textgeneration-bloom-1b1 | Generazione di testo | bigscience-bloom-rail-1.0 | No | ml.g5.16xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge | | Grande scienza | Bloom 3B | huggingface-textgeneration1-bloom-3b | Generazione di testo | bigscience-bloom-rail-1.0 | Sì | ml.g5.16xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge | | Grande scienza | Bloom 7B1 | huggingface-textgeneration1-bloom-7b1 | Generazione di testo | bigscience-bloom-rail-1.0 | Sì | ml.g5.16xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge | | Grande scienza | Bloomz 1b7 | huggingface-textgeneration-bloomz-1b7 | Generazione di testo | bigscience-bloom-rail-1.0 | No | ml.g5.16xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge | | Grande scienza | BloomZ 7B1 FP16 | huggingface-textgeneration1-bloomz-7b1-fp16 | Generazione di testo | bigscience-bloom-rail-1.0 | Sì | ml.g5.16xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge | | Bingsu | Bingsu my korean stable diffusion v1 5 | huggingface-txt2img-bingsu-my-korean-stable-diffusion-v1-5 | Text-to-Image | creativeml-openrail-m | No | ml.g4dn.2xlarge, ml.g4dn.xlarge, ml.p3.2xlarge | | Black-Forest-Labs | Laboratori della Foresta Nera [schnell] FLUX.1 | huggingface-txt2img-black-forest-labs-flux-1-schnell | Text-to-Image | Apache 2.0 | No | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.p4d.24xlarge, ml.p5.48xlarge | | Calcoli cognitivi | Dolphin 2.2.1 Mistral 7B | huggingface-llm-dolphin-2-2-1-mistral-7b | Generazione di testo | apache-2.0 | No | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge | | Calcoli cognitivi | Dolphin 2.5 Mixtral 8 7B | huggingface-llm-dolphin-2-5-mixtral-8x7b | Generazione di testo | apache-2.0 | No | ml.g5.48xlarge | | Calcoli cognitivi | Dolphin 2.7 Mixtral 8 7B | huggingface-llm-dolphin-2-7-mixtral-8x7b | Generazione di testo | apache-2.0 | No | ml.g5.48xlarge | | Calcoli cognitivi | Dolphin 2.9 Llama 3 8b | huggingface-llm-cognitive-dolphin-29-llama3-8b | Generazione di testo | altro | No | ml.g5.16xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge | | Cohereforai | Aya 101 | huggingface-llm-aya-101 | Generazione di testo | apache-2.0 | No | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.p4d.24xlarge | | Cross-Encoder | Cross Encoder Nli Deberta Base | huggingface-zstc-cross-encoder-nli-deberta-base | Zero-Shot Classificazione | apache-2.0 | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Cross-Encoder | Cross Encoder Nli Distilroberta Base | huggingface-zstc-cross-encoder-nli-distilroberta-base | Zero-Shot Classificazione | apache-2.0 | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Cross-Encoder | Codificatore trasversale Nli MiniLM2 L6 H768 | huggingface-zstc-cross-encoder-nli-minilm2-l6-h768 | Zero-Shot Classificazione | apache-2.0 | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Cross-Encoder | Cross Encoder Nli Roberta Base | huggingface-zstc-cross-encoder-nli-roberta-base | Zero-Shot Classificazione | apache-2.0 | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Agente informatico | CyberAgentLM2-7B-Chat (CALM2-7B-Chat) | huggingface-llm-calm2-7b-chat-bf16 | Generazione di testo | apache-2.0 | Sì | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.xlarge | | Databricks | DBRX Base | huggingface-llm-dbrx-base | Generazione di testo | databricks-open-model | No | ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p5.48xlarge | | Databricks | DBRX Instruct | huggingface-llm-dbrx-instruct | Generazione di testo | databricks-open-model | No | ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p5.48xlarge | | Databricks | Dolly V2 12b BF16 | huggingface-textgeneration-dolly-v2-12b-bf16 | Generazione di testo | apache-2.0 | No | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.p4d.24xlarge | | Databricks | Dolly V2 3b BF16 | huggingface-textgeneration-dolly-v2-3b-bf16 | Generazione di testo | apache-2.0 | No | ml.g5.16xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge | | Deepseek-Ai | DeepSeek-OCR | deepseek-vlm-deepseek-ocr | Image-Text-to-Text | mit | No | ml.g4dn.16xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g4dn.xlarge, ml.g5.16xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g6.16xlarge, ml.g6.16xlarge, ml.g6.2xlarge, ml.g6.4xlarge, ml.g6.8xlarge, ml.g6.xlarge, ml.g6e.16xlarge, ml.g6e.2xlarge, ml.g6e.4xlarge, ml.g6e.8xlarge, ml.g6e.xlarge, ml.p3.2xlarge | | Deepseek-Ai | DeepSeek-R1 | deepseek-llm-r1 | Generazione di testo | mit | No | ml.p5en.48xlarge | | Deepseek-Ai | DeepSeek-R1-0528 | deepseek-llm-r1-0528 | Generazione di testo | mit | No | ml.p5en.48xlarge | | Deepseek-Ai | DeepSeek-R1-Distill-Llama-70B | deepseek-llm-r1-distill-llama-70b | Generazione di testo | mit | Sì | ml.g5,48 xlarge, ml.g6,48 xlarge, ml.p4d.24xlarge | | Deepseek-Ai | DeepSeek-R1-Distill-Llama-8B | deepseek-llm-r1-distill-llama-8b | Generazione di testo | mit | Sì | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.g6.12xlarge, ml.g6.24xlarge, ml.g6.48xlarge | | Deepseek-Ai | DeepSeek-R1-Distill-Qwen-1.5B | deepseek-llm-r1-distill-qwen-1-5b | Generazione di testo | mit | Sì | ml.g5.12xlarge, ml.g5.16xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g6.12xlarge, ml.g6.16xlarge, ml.g6.24xlarge, ml.g6.2xlarge, ml.g6.48xlarge, ml.g6.48xlarge, ml.g6.4xlarge, ml.g6.8xlarge | | Deepseek-Ai | DeepSeek-R1-Distill-Qwen-14B | deepseek-llm-r1-distill-qwen-14b | Generazione di testo | mit | Sì | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.g6.12xlarge, ml.g6.24xlarge, ml.g6.48xlarge | | Deepseek-Ai | DeepSeek-R1-Distill-Qwen-32B | deepseek-llm-r1-distill-qwen-32b | Generazione di testo | mit | Sì | ml.g5.48xlarge, ml.g6.48xlarge, ml.p4d.24xlarge | | Deepseek-Ai | DeepSeek-R1-Distill-Qwen-7B | deepseek-llm-r1-distill-qwen-7b | Generazione di testo | mit | Sì | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.g6.12xlarge, ml.g6.24xlarge, ml.g6.48xlarge | | Deepseek-Ai | DeepSeek-V3.1 | deepseek-llm-deepseek-v3-1 | Generazione di testo | mit | No | ml.p5en.48xlarge | | Deepseek-Ai | DeepSeek-V3.2 | deepseek-llm-deepseek-v3-2 | Generazione di testo | mit | No | ml.p5en.48xlarge | | Distilbert | Custodia base Distilbert | huggingface-tc-distilbert-base-cased | Classificazione del testo | apache-2.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Distilberto | Custodia base Distilbert | huggingface-spc-distilbert-base-cased | Fill-Mask | apache-2.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Distilberto | Custodia base Distilbert | huggingface-eqa-distilbert-base-cased | Risposta alle domande | apache-2.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Distilberto | Custodia multilingue Distilbert Base | huggingface-tc-distilbert-base-multilingual-cased | Classificazione del testo | apache-2.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Distilberto | Custodia multilingue Distilbert Base | huggingface-spc-distilbert-base-multilingual-cased | Fill-Mask | apache-2.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Distilberto | Custodia multilingue Distilbert Base | huggingface-eqa-distilbert-base-multilingual-cased | Risposta alle domande | apache-2.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Distilberto | DistilGPT 2 | huggingface-textgeneration-distilgpt2 | Generazione di testo | apache-2.0 | No | ml.g5.16xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge | | Distilbert | DistilRoBERTa Base | huggingface-tc-distilroberta-base | Classificazione del testo | apache-2.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Distilberto | DistilRoBERTa Base | huggingface-eqa-distilroberta-base | Risposta alle domande | apache-2.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Distilberto | Risposta alle domande | huggingface-eqa-distilbert-base-uncased | Risposta alle domande | apache-2.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Distilberto | Classificazione delle coppie di frasi | huggingface-spc-distilbert-base-uncased | Fill-Mask | apache-2.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Distilberto | Classificazione del testo | huggingface-tc-distilbert-base-uncased | Classificazione del testo | apache-2.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Elastic | Base Distilbert senza custodia | huggingface-ner-distilbert-base-uncased-finetuned-conll03-eng | Classificazione dei token | apache-2.0 | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Elastic | Riconoscimento delle entità denominate | huggingface-ner-distilbert-base-cased-finetuned-conll03-english | Classificazione dei token | apache-2.0 | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Elastic | Riconoscimento delle entità denominate | huggingface-ner-distilbert-base-cased-finetuned-conll03-eng | Classificazione dei token | apache-2.0 | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Eleutheria | GPT-J 6B | huggingface-textgeneration1-gpt-j-6b | Generazione di testo | apache-2.0 | Sì | ml.g5.12xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge | | Eleutheria | GPT-Neo 125 M | huggingface-textgeneration1-gpt-neo-125m | Generazione di testo | mit | Sì | ml. g 5,16 x grande, ml. g 5,2 x grande, ml. g 5,4 x grande, ml. g 5,8 x grande | | Eleutheria | gpt-neox-20b | huggingface-textgeneration2-gpt-neox-20b-fp16 | Generazione di testo | Apache-2.0 | No | ml.g4dn.12xlarge, ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.g6.12xlarge, ml.g6.24xlarge, ml.g6.48xlarge, ml.g6e.12xlarge, ml.g6e.24xlarge, ml.g6e.24xlarge, ml.p4d.24xlarge | | Eleutheria | Pythia 160m deduplicata | huggingface-llm-eleutherai-pythia-160m-deduped | Generazione di testo | apache-2.0 | No | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.2xlarge | | Eleutheria | Pythia 7m Deduped | huggingface-llm-eleutherai-pythia-70m-deduped | Generazione di testo | apache-2.0 | No | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge | | Elyza | ELYZA-japanese-Llama-2-13b-chat | huggingface-llm-elyza-japanese-llama-2-13b-chat | Generazione di testo | lama 2 | Sì | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.p4d.24xlarge | | Elyza | ELYZA-japanese-Llama-2-13b-fast-chat | huggingface-llm-elyza-japanese-llama-2-13b-fast-chat | Generazione di testo | lama 2 | Sì | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.p4d.24xlarge | | Elyza | ELYZA-japanese-Llama-2-7b-chat | huggingface-llm-elyza-japanese-llama-2-7b-chat-bf16 | Generazione di testo | lama 2 | Sì | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.xlarge | | Elyza | ELYZA-japanese-Llama-2-7b-fast-chat | huggingface-llm-elyza-japanese-llama-2-7b-fast-chat-bf16 | Generazione di testo | lama 2 | Sì | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.xlarge | | Emercan | Allnli Tr con involucro turco a base di berto americano | huggingface-zstc-emrecan-bert-base-turkish-cased-allnli-tr | Zero-Shot Classificazione | mit | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Facebook | Zero-Shot Classificazione del testo | huggingface-zstc-facebook-bart-large-mnli | Zero-Shot Classificazione | mit | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Facebookai | Base Roberta | huggingface-tc-roberta-base | Classificazione del testo | mit | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Facebookai | Base Roberta | huggingface-spc-roberta-base | Fill-Mask | mit | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Facebookai | Base Roberta | huggingface-eqa-roberta-base | Risposta alle domande | mit | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Facebookai | Roberta Large | huggingface-tc-roberta-large | Classificazione del testo | mit | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.xlarge, ml.m5.xlarge, ml.p3.2xlarge | | Facebookai | Roberta Large | huggingface-spc-roberta-large | Fill-Mask | mit | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.xlarge, ml.m5.xlarge, ml.p3.2xlarge | | Facebookai | Roberta Large | huggingface-eqa-roberta-large | Risposta alle domande | mit | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.xlarge, ml.m5.xlarge, ml.p3.2xlarge | | Facebookai | XML COM English-German | huggingface-tc-xlm-clm-ende-1024 | Classificazione del testo | mit | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Facebookai | XML COM English-German | huggingface-spc-xlm-clm-ende-1024 | Fill-Mask | mit | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Facebookai | XLM MLM 15 lingue XNLI | huggingface-spc-xlm-mlm-xnli15-1024 | Fill-Mask | cc-by-nc-4.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Facebookai | XML MLM English-German | huggingface-tc-xlm-mlm-ende-1024 | Classificazione del testo | cc-by-nc-4.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Facebookai | XML MLM English-German | huggingface-spc-xlm-mlm-ende-1024 | Fill-Mask | cc-by-nc-4.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Facebookai | XML MLM English-Romanian | huggingface-tc-xlm-mlm-enro-1024 | Classificazione del testo | cc-by-nc-4.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Facebookai | XML MLM English-Romanian | huggingface-spc-xlm-mlm-enro-1024 | Fill-Mask | cc-by-nc-4.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Facebookai | XLM MLM TLM 15 lingue XNLI | huggingface-tc-xlm-mlm-tlm-xnli15-1024 | Classificazione del testo | cc-by-nc-4.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Facebookai | XLM MLM TLM 15 lingue XNLI | huggingface-spc-xlm-mlm-tlm-xnli15-1024 | Fill-Mask | cc-by-nc-4.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Fittiverso | Modello di diffusione stabile di Fictiverse BalloonArt | huggingface-txt2img-fictiverse-stable-diffusion-balloonart | Text-to-Image | creativeml-openrail-m | No | ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | Fittiverso | Modello microscopico a diffusione stabile Fictiverse | huggingface-txt2img-fictiverse-stable-diffusion-micro-model | Text-to-Image | binario aperto | No | ml.g4dn.2xlarge, ml.g4dn.xlarge, ml.p3.2xlarge | | Fittiverso | Modello di diffusione stabile di Fictiverse PaperCut | huggingface-txt2img-fictiverse-stable-diffusion-papercut-model | Text-to-Image | creativeml-openrail-m | No | ml.g4dn.2xlarge, ml.g4dn.xlarge, ml.p3.2xlarge | | Fittiverso | Modello di diffusione stabile di Fictiverse VoxelArt | huggingface-txt2img-fictiverse-stable-diffusion-voxelart-model | Text-to-Image | creativeml-openrail-m | No | ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | Google | Bigbird Pegasus Large Archive | huggingface-summarization-bigbird-pegasus-large-arxiv | Sintesi testuale | apache-2.0 | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Google | Bigbird Pegasus Pubmed grande | huggingface-summarization-bigbird-pegasus-large-pubmed | Sintesi testuale | apache-2.0 | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Google | Flan-T5 Base | huggingface-text2text-flan-t5-base | Generazione Text2Text | apache-2.0 | Sì | ml.g5.16xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge | | Google | Flan-T5 Grande | huggingface-text2text-flan-t5-large | Generazione Text2Text | apache-2.0 | Sì | ml.g5.16xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge | | Google | Flan-T5 Piccolo | huggingface-text2text-flan-t5-small | Generazione Text2Text | apache-2.0 | Sì | ml.g5.16xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge | | Google | Flan-T5 XL | huggingface-text2text-flan-t5-xl | Generazione Text2Text | apache-2.0 | Sì | ml.g5.16xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge | | Google | Flan-T5 XXL | huggingface-text2text-flan-t5-xxl | Generazione Text2Text | apache-2.0 | Sì | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.p4d.24xlarge | | Google | Gemma 2 27B | huggingface-llm-gemma-2-27b | Generazione di testo | gemma | No | ml.g5,48 xlarge, ml.p4d.24xlarge | | Google | Gemma 2 27B Instruct | huggingface-llm-gemma-2-27b-instruct | Generazione di testo | gemma | No | ml.g5,48 xlarge, ml.p4d.24xlarge | | Google | Gemma 2 2B | huggingface-llm-gemma-2-2b | Generazione di testo | gemma | No | ml.g5.12xlarge, ml.g5.16xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.xlarge, ml.p4de.24xlarge, ml.p5,48xlarge, ml.p5,48xlarge | | Google | Gemma 2 2B Instruct | huggingface-llm-gemma-2-2b-instruct | Generazione di testo | gemma | No | ml.g5.12xlarge, ml.g5.16xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.xlarge, ml.p4de.24xlarge, ml.p5,48xlarge, ml.p5,48xlarge | | Google | Gemma 2 9B | huggingface-llm-gemma-2-9b | Generazione di testo | gemma | No | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.p4d.24xlarge | | Google | Gemma 2 9B Instruct | huggingface-llm-gemma-2-9b-instruct | Generazione di testo | gemma | No | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.p4d.24xlarge | | Google | Gemma 2B Instruct | huggingface-llm-gemma-2b-instruct | Generazione di testo | gemma | Sì | ml.g5.12xlarge, ml.g5.16xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.xlarge, ml.p4de.24xlarge, ml.p5,48xlarge, ml.p5,48xlarge | | Google | Gemma 3 1B Istruire | huggingface-llm-gemma-3-1b-instruct | Generazione di testo | Gemma | No | ml.g5.16xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge | | Google | Gemma 3 27B Istruisci | huggingface-vlm-gemma-3-27b-instruct | Image-Text-to-Text | Gemma | No | ml.g5,48 xlarge, ml.g6,48 xlarge, ml.p4d.24xlarge, ml.p5,48 xlarge | | Google | Gemma 3 4B Istruisci | huggingface-vlm-gemma-3-4b-instruct | Image-Text-to-Text | Gemma | No | ml.g5.16xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge | | Google | gemma-2b | huggingface-llm-gemma-2b | Generazione di testo | gemma | Sì | ml.g4dn.xlarge, ml.g5.xlarge, ml.g6.xlarge, ml.g6e.xlarge, ml.p3.2xlarge, ml.p4d.24xlarge | | Google | gemma-4-26b-a4b-it | huggingface-vlm-gemma-4-26b-a4b-it | Generazione di testo | apache-2.0 | No | ml.g6.12xlarge, ml.g6.24xlarge, ml.g6e.12xlarge, ml.g6e.24xlarge, ml.p5.48xlarge, ml.p5en.48xlarge | | Google | gemma-4-31b-it | huggingface-vlm-gemma-4-31b-it | Image-Text-to-Text | Apache-2.0 | No | ml.g6.24xlarge | | Google | gemma-4-e4b-it | huggingface-vlm-gemma-4-e4b-it | Generazione di testo | apache-2.0 | No | ml.g6.12xlarge, ml.g6e.2xlarge, ml.g6e.4xlarge, ml.g6e.xlarge, ml.p5.48xlarge, ml.p5en.48xlarge | | Google | gemma-7b | huggingface-llm-gemma-7b | Generazione di testo | gemma | Sì | ml.g6e.48xlarge, ml.p4d.24xlarge, ml.p5en.48xlarge | | Google | gemma-7b-it | huggingface-llm-gemma-7b-instruct | Generazione di testo | gemma | Sì | ml.g5.48xlarge, ml.g6.48xlarge, ml.g6e.12xlarge, ml.g6e.24xlarge, ml.p4d.24xlarge, ml.p5en.48xlarge | | Google-Bert | BERT Base Cased | huggingface-tc-bert-base-cased | Classificazione del testo | apache-2.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Google-Bert | BERT Base Cased | huggingface-spc-bert-base-cased | Fill-Mask | apache-2.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Google-Bert | BERT Base Cased | huggingface-eqa-bert-base-cased | Risposta alle domande | apache-2.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Google-Bert | BERT Base Multilingual Cased | huggingface-tc-bert-base-multilingual-cased | Classificazione del testo | apache-2.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Google-Bert | BERT Base Multilingual Cased | huggingface-spc-bert-base-multilingual-cased | Fill-Mask | apache-2.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Google-Bert | BERT Base Multilingual Cased | huggingface-eqa-bert-base-multilingual-cased | Risposta alle domande | apache-2.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Google-Bert | BERT Base multilingue senza custodia | huggingface-tc-bert-base-multilingual-uncased | Classificazione del testo | apache-2.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Google-Bert | BERT Base multilingue senza custodia | huggingface-spc-bert-base-multilingual-uncased | Fill-Mask | apache-2.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Google-Bert | BERT Base multilingue senza custodia | huggingface-eqa-bert-base-multilingual-uncased | Risposta alle domande | apache-2.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Google-Bert | BERT Base Uncased | huggingface-tc-bert-base-uncased | Classificazione del testo | apache-2.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Google-Bert | BERT Base Uncased | huggingface-spc-bert-base-uncased | Fill-Mask | apache-2.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Google-Bert | BERT Base Uncased | huggingface-eqa-bert-base-uncased | Risposta alle domande | apache-2.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Google-Bert | BERT Large Cased | huggingface-tc-bert-large-cased | Classificazione del testo | apache-2.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Google-Bert | BERT Large Cased | huggingface-spc-bert-large-cased | Fill-Mask | apache-2.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Google-Bert | BERT Large Cased | huggingface-eqa-bert-large-cased | Risposta alle domande | apache-2.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Google-Bert | BERT Large Cased Whole Word Masking | huggingface-spc-bert-large-cased-whole-word-masking | Fill-Mask | apache-2.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Google-Bert | BERT Large Cased Whole Word Masking | huggingface-eqa-bert-large-cased-whole-word-masking | Risposta alle domande | apache-2.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Google-Bert | BERT Large Uncased | huggingface-tc-bert-large-uncased | Classificazione del testo | apache-2.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Google-Bert | BERT Large Uncased | huggingface-spc-bert-large-uncased | Fill-Mask | apache-2.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Google-Bert | BERT Large Uncased Whole Word Masking | huggingface-spc-bert-large-uncased-whole-word-masking | Fill-Mask | apache-2.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Google-Bert | Maschera Fill | huggingface-fillmask-bert-base-uncased | Fill-Mask | apache-2.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Google-T5 | Traduzione automatica | huggingface-translation-t5-small | Traduzione | apache-2.0 | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Google-T5 | t5 Base in de | huggingface-translation-t5-base | Traduzione | apache-2.0 | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Google-T5 | t5 Tintura a penna grande | huggingface-translation-t5-large | Traduzione | apache-2.0 | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Gradiente | Llama-3 8B Gradient Instruct 1048k | huggingface-llm-llama-3-8b-instruct-gradient | Generazione di testo | lama 3 | No | ml.g5.12xlarge, ml.g5.16xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p5.48xlarge | | Gradiente | Llama-3 8B Gradient Instruct 262k | huggingface-llm-gradientai-llama-3-8B-instruct-262k | Generazione di testo | lama 3 | No | ml.g5.12xlarge, ml.g5.16xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p5.48xlarge | | Helsinki-Nlp | Helsinki opus en es | huggingface-translation-opus-mt-en-es | Traduzione | apache-2.0 | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Helsinki-Nlp | Helsinki opus en vi | huggingface-translation-opus-mt-en-vi | Traduzione | apache-2.0 | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Helsinki-Nlp | Helsinki opus mul en | huggingface-translation-opus-mt-mul-en | Traduzione | apache-2.0 | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Faccia che abbraccia h4 | HuggingFaceH4 zefiro o po-141b- A35b-v0.1 | huggingface-llm-huggingfaceh4-zephyr-orpo-141b-a35b-v01 | Generazione di testo | Apache 2.0 | No | ml.g5,48 xlarge, ml.p4d.24xlarge | | Faccia che si abbraccia h4 | Star Chat Alpha | huggingface-llm-huggingfaceh4-starchat-alpha | Generazione di testo | bigcode-openrail-m | No | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge | | Faccia che si abbraccia h4 | Star Chat Beta | huggingface-llm-huggingfaceh4-starchat-beta | Generazione di testo | bigcode-openrail-m | No | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.p4d.24xlarge | | Faccia che abbraccia h4 | Zephyr 7B Beta | huggingface-llm-huggingfaceh4-zephyr-7b-beta | Generazione di testo | mit | No | ml.g5,12 xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5,48 xlarge, ml.p4d.24xlarge | | Ibm | Generazione di parafrasi con controllo di qualità | huggingface-text2text-qcpg-sentences | Generazione Text2Text | apache-2.0 | No | ml.g5.16xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge | | Idea-Ccnl | IDEA CCNL Taiyi Stable Diffusion 1B in cinese EN v0.1 | huggingface-txt2img-idea-ccnl-taiyi-1b-chinese-en-v01 | Text-to-Image | creativeml-openrail-m | No | ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | Idea-Ccnl | IDEA CCNL Taiyi Stable Diffusion 1B cinese v0.1 | huggingface-txt2img-idea-ccnl-taiyi-1b-chinese-v0-1 | Text-to-Image | creativeml-openrail-m | No | ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | Infloat | Base E5 | huggingface-sentencesimilarity-e5-base | Somiglianza di frasi | mit | Sì | ml.c6i.xlarge, ml.g4dn.2xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | Infloat | Base E5 V2 | huggingface-sentencesimilarity-e5-base-v2 | Somiglianza di frasi | mit | Sì | ml.c6i.xlarge, ml.g4dn.2xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | Infloat | E5 Grande V2 | huggingface-sentencesimilarity-e5-large-v2 | Somiglianza di frasi | mit | Sì | ml.c6i.xlarge, ml.g4dn.2xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | Infloat | Base E5 multilingue | huggingface-sentencesimilarity-multilingual-e5-base | Somiglianza di frasi | mit | Sì | ml.c6i.xlarge, ml.g4dn.2xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | Infloat | Multilingue E5 Large | huggingface-sentencesimilarity-multilingual-e5-large | Somiglianza di frasi | mit | Sì | ml.c6i.xlarge, ml.g4dn.2xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | Langboat | Langboat Guohua Diffusion | huggingface-txt2img-langboat-guohua-diffusion | Text-to-Image | creativeml-openrail-m | No | ml.g4dn.2xlarge, ml.g4dn.xlarge, ml.p3.2xlarge | | Luce eterna | Illuminazione esterna Nli Xlm R greca | huggingface-zstc-lighteternal-nli-xlm-r-greek | Zero-Shot Classificazione | apache-2.0 | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Meta | Llama-2-7b-hf | meta-textgeneration-llama-2-7b | Generazione di testo | lama 2 | Sì | ml.g4dn.12xlarge, ml.g5.12xlarge, ml.g6.12xlarge, ml.g6e.xlarge, ml.p4d.24xlarge, ml.p5.48xlarge | | Meta | Llama-3.1-70B-Instruct | meta-textgeneration-llama-3-1-70b-instruct | Generazione di testo | lama 3.1 | Sì | ml.g6e.48xlarge, ml.p5en.48xlarge | | Meta | Llama-3.1-8B-Instruct | meta-textgeneration-llama-3-1-8b-instruct | Generazione di testo | lama 3.1 | Sì | ml.g5.48xlarge, ml.g6.48xlarge, ml.g6e.12xlarge, ml.p3.16xlarge, ml.p4d.24xlarge, ml.p5.48xlarge | | Meta | Llama-3.2-1B | meta-textgeneration-llama-3-2-1b | Generazione di testo | lama 3.2 | Sì | ml.g4dn.12xlarge, ml.g5.48xlarge, ml.g6.12xlarge, ml.g6e.2xlarge, ml.p3.16xlarge, ml.p4d.24xlarge | | Meta | Llama-3.2-1B-Instruct | meta-textgeneration-llama-3-2-1b-instruct | Generazione di testo | lama 3.2 | Sì | ml.g4dn.12xlarge, ml.g5.24xlarge, ml.g6.48xlarge, ml.g6e.12xlarge, ml.p4d.24xlarge, ml.p5.48xlarge | | Meta | Llama-3.2-3B | meta-textgeneration-llama-3-2-3b | Generazione di testo | lama 3.2 | Sì | ml.g5.48xlarge, ml.g6.48xlarge, ml.g6e.24xlarge, ml.g6e.48xlarge, ml.p3.16xlarge, ml.p5en.48xlarge | | Meta | Llama-3.2-3B-Instruct | meta-textgeneration-llama-3-2-3b-instruct | Generazione di testo | lama 3.2 | Sì | ml.g5.24xlarge, ml.g6.24xlarge, ml.g6e.48xlarge, ml.p3.16xlarge, ml.p4d.24xlarge, ml.p5.48xlarge | | Meta | Llama-Guard-3-1B | meta-textgeneration-llama-guard-3-1b | Generazione di testo | lama 3.2 | No | ml.g4dn.12xlarge, ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.g5.8xlarge, ml.g6.12xlarge, ml.g6.12xlarge, ml.g6.24xlarge, ml.g6.48xlarge, ml.g6e.12xlarge, ml.g6e.16xlarge, ml.g6xlarge, ml.g6xlarge, ml.g6e.16xlarge, ml.g6xlarge, ml.g6e.16xlarge, ml.g6xlarge, ml.g6e.16xlarge, ml.g6xlarge, ml.g6e.16xlarge, ml.g6xlarge, ml.g6e.16xlarge, ml.g6xlarge, ml.g6e..24xlarge, ml.g6e.2xlarge, ml.g6e.4xlarge, ml.g6e.8xlarge, ml.g6e.xlarge, ml.p4d.24xlarge | | Meta | Llama-Guard-3-8B | meta-textgeneration-llama-guard-3-8b | Generazione di testo | lama 3.1 | No | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.g6.12xlarge, ml.g6.24xlarge, ml.g6.48xlarge, ml.g6e.12xlarge, ml.g6e.24xlarge, ml.g6e.24xlarge, ml.p4d.24xlarge | | Meta | Meta Code Llama 13B | meta-textgeneration-llama-codellama-13b | Generazione di testo | lama 2 | Sì | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.g6.12xlarge, ml.p4d.24xlarge | | Meta | Meta Code Llama 13B Instruct | meta-textgeneration-llama-codellama-13b-instruct | Generazione di testo | lama 2 | No | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.g6.12xlarge, ml.p4d.24xlarge | | Meta | Meta Code Llama 13B Python | meta-textgeneration-llama-codellama-13b-python | Generazione di testo | lama 2 | Sì | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.g6.12xlarge, ml.p4d.24xlarge | | Meta | Meta Code Llama 34B | meta-textgeneration-llama-codellama-34b | Generazione di testo | lama 2 | Sì | ml.g5,48 xlarge, ml.p4d.24xlarge | | Meta | Meta Code Llama 34B Instruct | meta-textgeneration-llama-codellama-34b-instruct | Generazione di testo | lama 2 | No | ml.g5,48 xlarge, ml.p4d.24xlarge | | Meta | Meta Code Llama 34B Python | meta-textgeneration-llama-codellama-34b-python | Generazione di testo | lama 2 | Sì | ml.g5,48 xlarge, ml.p4d.24xlarge | | Meta | Meta Code Llama 70B | meta-textgeneration-llama-codellama-70b | Generazione di testo | lama 2 | Sì | ml.g5,48 xlarge, ml.p4d.24xlarge | | Meta | Meta Code Llama 70B Instruct | meta-textgeneration-llama-codellama-70b-instruct | Generazione di testo | lama 2 | No | ml.g5,48 xlarge, ml.p4d.24xlarge | | Meta | Meta Code Llama 70B Neuron | meta-textgenerationneuron-llama-codellama-70b | Generazione di testo | lama 2 | No | ml.inf 2,48 x large | | Meta | Meta Code Llama 70B Python | meta-textgeneration-llama-codellama-70b-python | Generazione di testo | lama 2 | Sì | ml.g5,48 xlarge, ml.p4d.24xlarge | | Meta | Meta Code Llama 7B | meta-textgeneration-llama-codellama-7b | Generazione di testo | lama 2 | Sì | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g6.2xlarge, ml.p4d.24xlarge | | Meta | Meta Code Llama 7B Instruct | meta-textgeneration-llama-codellama-7b-instruct | Generazione di testo | lama 2 | No | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g6.12xlarge, ml.g6.2xlarge, ml.g6.2xlarge, ml.p4d.24xlarge | | Meta | Meta Code Llama 7B Neuron | meta-textgenerationneuron-llama-codellama-7b | Generazione di testo | lama 2 | No | ml.inf2.8xlarge, ml.inf2.xlarge | | Meta | Meta Code Llama 7B Python | meta-textgeneration-llama-codellama-7b-python | Generazione di testo | lama 2 | Sì | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g6.12xlarge, ml.p4d.24xlarge | | Meta | Meta Code Llama 7B Python Neuron | meta-textgenerationneuron-llama-codellama-7b-python | Generazione di testo | lama 2 | No | ml.inf2.8xlarge, ml.inf2.xlarge | | Meta | Meta Llama 2 13B | meta-textgeneration-llama-2-13b | Generazione di testo | lama 2 | Sì | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.g6.12xlarge, ml.p4d.24xlarge, ml.p5.48xlarge | | Meta | Meta Llama 2 13B Chat | meta-textgeneration-llama-2-13b-f | Generazione di testo | lama 2 | Sì | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.g6.12xlarge, ml.p4d.24xlarge, ml.p5.48xlarge | | Meta | Meta Llama 2 13B Chat Neuron | meta-textgenerationneuron-llama-2-13b-f | Generazione di testo | lama 2 | No | ml.inf2.24xlarge, ml.inf2.48xlarge, ml.inf 2.8xlarge | | Meta | Meta Llama 2 13B Neuron | meta-textgenerationneuron-llama-2-13b | Generazione di testo | lama 2 | Sì | ml.inf2.24xlarge, ml.inf2.48xlarge, ml.inf 2.8xlarge | | Meta | Meta Llama 2 70B | meta-textgeneration-llama-2-70b | Generazione di testo | lama 2 | Sì | ml.g5,48 xlarge, ml.p4d.24xlarge | | Meta | Meta Llama 2 70B Chat | meta-textgeneration-llama-2-70b-f | Generazione di testo | lama 2 | Sì | ml.g5,48 xlarge, ml.p4d.24xlarge | | Meta | Meta Llama 2 70B Chat Neuron | meta-textgenerationneuron-llama-2-70b-f | Generazione di testo | lama 2 | No | ml.inf 2,48 x large | | Meta | Meta Llama 2 70B Neuron | meta-textgenerationneuron-llama-2-70b | Generazione di testo | lama 2 | No | ml.inf 2,48 x large | | Meta | Meta Llama 2 7B Chat | meta-textgeneration-llama-2-7b-f | Generazione di testo | lama 2 | Sì | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g6.12xlarge, ml.p4d.24xlarge | | Meta | Meta Llama 2 7B Chat Neuron | meta-textgenerationneuron-llama-2-7b-f | Generazione di testo | lama 2 | No | ml.inf2.24xlarge, ml.inf2.48xlarge, ml.inf2.8xlarge, ml.inf2.xlarge | | Meta | Meta Llama 2 7B Neuron | meta-textgenerationneuron-llama-2-7b | Generazione di testo | lama 2 | Sì | ml.inf2.24xlarge, ml.inf2.48xlarge, ml.inf2.8xlarge, ml.inf2.xlarge | | Meta | Meta Llama 3 1 8B Neuron | meta-textgenerationneuron-llama-3-1-8b | Generazione di testo | lama 3.1 | No | ml.inf2.24xlarge, ml.inf2.48xlarge, ml.inf2.8xlarge, ml.trn1.2xlarge, ml.trn1.32xlarge, ml.trn1n.32xlarge | | Meta | Meta Llama 3 70B | meta-textgeneration-llama-3-70b | Generazione di testo | lama 3 | Sì | ml.g5,48 xlarge, ml.g6,48 xlarge, ml.p4d.24xlarge, ml.p5,48 xlarge | | Meta | Meta Llama 3 70B Instruct | meta-textgeneration-llama-3-70b-instruct | Generazione di testo | lama 3 | Sì | ml.g5,48 xlarge, ml.g6,48 xlarge, ml.p4d.24xlarge, ml.p5,48 xlarge | | Meta | Meta Llama 3 70B Instruct Neuron | meta-textgenerationneuron-llama-3-70b-instruct | Generazione di testo | lama 3 | No | ml.trn1.32xlarge | | Meta | Meta Llama 3 70B Neuron | meta-textgenerationneuron-llama-3-70b | Generazione di testo | lama 3 | No | ml.trn1.32xlarge | | Meta | Meta Llama 3 8B Instruct | meta-textgeneration-llama-3-8b-instruct | Generazione di testo | lama 3 | Sì | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g6.12xlarge, ml.g6.2xlarge, ml.g6.2xlarge, ml.p4d.24xlarge, ml.p5.48xlarge | | Meta | Meta Llama 3 8B Instruct Neuron | meta-textgenerationneuron-llama-3-8b-instruct | Generazione di testo | lama 3 | No | ml.inf2.24xlarge, ml.inf2.48xlarge, ml.inf 2.8xlarge | | Meta | Meta Llama 3 8B Neuron | meta-textgenerationneuron-llama-3-8b | Generazione di testo | lama 3 | No | ml.inf2.24xlarge, ml.inf2.48xlarge, ml.inf 2.8xlarge | | Meta | Meta Llama 3.1 405B FP8 | meta-textgeneration-llama-3-1-405b-fp8 | Generazione di testo | lama 3.1 | Sì | ml.p4de.24xlarge, ml.p5,48 xlarge | | Meta | Meta Llama 3.1 405B Instruct FP8 | meta-textgeneration-llama-3-1-405b-instruct-fp8 | Generazione di testo | lama 3.1 | Sì | ml.p4de.24xlarge, ml.p5,48 xlarge | | Meta | Meta Llama 3.1 70B | meta-textgeneration-llama-3-1-70b | Generazione di testo | lama 3.1 | Sì | ml.g5,48 xlarge, ml.g6,48 xlarge, ml.p4d.24xlarge, ml.p5,48 xlarge | | Meta | Meta Llama 3.1 70B Instruct Neuron | meta-textgenerationneuron-llama-3-1-70b-instruct | Generazione di testo | lama 3.1 | No | ml.inf 2,48 x large, ml.trn 1,32 x large, ml.trn1 n. 32 x large | | Meta | Meta Llama 3.1 70B Neuron | meta-textgenerationneuron-llama-3-1-70b | Generazione di testo | lama 3.1 | No | ml.inf 2,48 x large, ml.trn 1,32 x large, ml.trn1 n. 32 x large | | Meta | Meta Llama 3,1 8B | meta-textgeneration-llama-3-1-8b | Generazione di testo | lama 3.1 | Sì | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g6.12xlarge, ml.g6.24xlarge, ml.g6.2xlarge, ml.g6.8xlarge, ml.g6.8xlarge, ml.g6.8xlarge, ml.g6.8xlarge, ml.p4d.24xlarge, ml.p5,48 xlarge | | Meta | Meta Llama 3.1 8B Instruct Neuron | meta-textgenerationneuron-llama-3-1-8b-instruct | Generazione di testo | lama 3.1 | No | ml.inf2.24xlarge, ml.inf2.48xlarge, ml.inf2.8xlarge, ml.trn1.2xlarge, ml.trn1.32xlarge, ml.trn1n.32xlarge | | Meta | Meta Llama 3.2 11B Vision | meta-vlm-llama-3-2-11b-vision | Image-Text-to-Text | lama 3.2 | Sì | ml.g6.12xlarge, ml.g6.24xlarge, ml.g6.48xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p5,48xlarge | | Meta | Istruzioni di visione Meta Llama 3.2 11B | meta-vlm-llama-3-2-11b-vision-instruct | Image-Text-to-Text | lama 3.2 | Sì | ml.g6.12xlarge, ml.g6.24xlarge, ml.g6.48xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p5,48xlarge | | Meta | Meta Llama 3.2 1B Istruisci un neurone | meta-textgenerationneuron-llama-3-2-1b-instruct | Generazione di testo | lama 3.2 | No | ml.inf2.24xlarge, ml.inf2.48xlarge, ml.inf2.8xlarge, ml.inf2.xlarge, ml.trn1.2xlarge, ml.trn1.32xlarge, ml.trn1n.32xlarge, ml.trn1n.32xlarge | | Meta | Neurone Meta Llama 3.2 da 1 GB | meta-textgenerationneuron-llama-3-2-1b | Generazione di testo | lama 3.2 | No | ml.inf2.24xlarge, ml.inf2.48xlarge, ml.inf2.8xlarge, ml.inf2.xlarge, ml.trn1.2xlarge, ml.trn1.32xlarge, ml.trn1n.32xlarge, ml.trn1n.32xlarge | | Meta | Meta Llama 3.2 3B Istruisci un neurone | meta-textgenerationneuron-llama-3-2-3b-instruct | Generazione di testo | lama 3.2 | No | ml.inf2.24xlarge, ml.inf2.48xlarge, ml.inf2.8xlarge, ml.inf2.xlarge, ml.trn1.2xlarge, ml.trn1.32xlarge, ml.trn1n.32xlarge, ml.trn1n.32xlarge | | Meta | Neurone Meta Llama 3.2 3B | meta-textgenerationneuron-llama-3-2-3b | Generazione di testo | lama 3.2 | No | ml.inf2.24xlarge, ml.inf2.48xlarge, ml.inf2.8xlarge, ml.inf2.xlarge, ml.trn1.2xlarge, ml.trn1.32xlarge, ml.trn1n.32xlarge, ml.trn1n.32xlarge | | Meta | Meta Llama 3.2 90B Vision | meta-vlm-llama-3-2-90b-vision | Image-Text-to-Text | lama 3.2 | Sì | ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p5,48 xlarge | | Meta | Istruzioni di visione Meta Llama 3.2 90B | meta-vlm-llama-3-2-90b-vision-instruct | Image-Text-to-Text | lama 3.2 | Sì | ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p5,48 xlarge | | Meta | Meta Llama 3.3 70B Instruct | meta-textgeneration-llama-3-3-70b-instruct | Generazione di testo | lama 3.3 | Sì | ml.g5,48 xlarge, ml.g6,48 xlarge, ml.p4d.24xlarge, ml.p5,48 xlarge | | Meta | Meta Llama 4 Maverick 17 GB 128E FP8 | meta-vlm-llama-4-maverick-17b-128e-instruct-fp8 | Image-Text-to-Text | lama 4 | No | ml.p5en.48xlarge | | Meta | Istruzioni Meta Llama 4 Maverick 17B 128E | meta-vlm-llama-4-maverick-17b-128e-instruct | Image-Text-to-Text | lama 4 | No | ml.p5en.48xlarge | | Meta | Istruzioni Meta Llama 4 Scout 17B 16E | meta-vlm-llama-4-scout-17b-16e-instruct | Image-Text-to-Text | lama 4 | Sì | ml.g6e.48xlarge, ml.p5,48 xlarge, ml.p5en.48xlarge | | Meta | Meta Llama Guard 3 11B Vision | meta-vlm-llama-guard-3-11b-vision | Image-Text-to-Text | lama 3.2 | No | ml.g6.12xlarge, ml.g6.24xlarge, ml.g6.48xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p5,48xlarge | | Meta | Meta Llama Guard 3 1B Neuron | meta-textgenerationneuron-llama-guard-3-1b | Generazione di testo | lama 3.2 | No | ml.inf2.24xlarge, ml.inf2.48xlarge, ml.inf2.8xlarge, ml.inf2.xlarge, ml.trn1.2xlarge, ml.trn1.32xlarge, ml.trn1n.32xlarge, ml.trn1n.32xlarge | | Meta | Meta Llama Guard 3 8 GB Neuron | meta-textgenerationneuron-llama-guard-3-8b | Generazione di testo | lama 3.1 | No | ml.inf2.24xlarge, ml.inf2.48xlarge, ml.inf2.8xlarge, ml.trn1.2xlarge, ml.trn1.32xlarge, ml.trn1n.32xlarge | | Meta | Meta Llama Guard 7B | meta-textgeneration-llama-guard-7b | Generazione di testo | lama 2 | No | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p4d.24xlarge | | Meta | Meta Llama Prompt Guard 86M | meta-tc-llama-prompt-guard-86m | Classificazione del testo | lama 3.1 | No | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.xlarge, ml.g6.12xlarge, ml.g6.24xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.8xlarge, ml.g6.xlarge, ml.p4d.24xlarge | | Meta | Meta SAM 2.1 Hiera Base Plus | meta-vs-sam-2-1-hiera-base-plus | Segmentazione dell'immagine | apache-2.0 | No | ml.g5.24xlarge, ml.g5.48xlarge, ml.g6.24xlarge, ml.g6.48xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge | | Meta | Meta SAM 2.1 Hiera Grande | meta-vs-sam-2-1-hiera-large | Segmentazione dell'immagine | apache-2.0 | No | ml.g5.24xlarge, ml.g5.48xlarge, ml.g6.24xlarge, ml.g6.48xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge | | Meta | Meta SAM 2.1 Hiera piccola | meta-vs-sam-2-1-hiera-small | Segmentazione dell'immagine | apache-2.0 | No | ml.g5.24xlarge, ml.g5.48xlarge, ml.g6.24xlarge, ml.g6.48xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge | | Meta | Meta SAM 2.1 Hiera Tiny | meta-vs-sam-2-1-hiera-tiny | Segmentazione dell'immagine | apache-2.0 | No | ml.g5.24xlarge, ml.g5.48xlarge, ml.g6.24xlarge, ml.g6.48xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge | | Meta | Meta-Llama-3-8B | meta-textgeneration-llama-3-8b | Generazione di testo | lama 3 | Sì | ml.g4dn.12xlarge, ml.g5.12xlarge, ml.g6.12xlarge, ml.g6e.xlarge, ml.p3.8xlarge, ml.p4d.24xlarge | | Microsoft | Phi-2 | huggingface-llm-phi-2 | Generazione di testo | mit | No | ml.g5.12xlarge, ml.g5.16xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.xlarge, ml.p4de.24xlarge, ml.p5.48xlarge, ml.p5,48xlarge | | Microsoft | Phi-3-Mini-128K-Instruct | huggingface-llm-phi-3-mini-128k-instruct | Generazione di testo | mit | No | ml.g5.12xlarge, ml.g5.16xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p5.48xlarge, ml.p5,48xlarge | | Microsoft | Phi-3-mini-4k-instruct | huggingface-llm-phi-3-mini-4k-instruct | Generazione di testo | mit | No | ml.g4dn.12xlarge, ml.g5.12xlarge, ml.g6.12xlarge, ml.g6e.xlarge, ml.p4d.24xlarge, ml.p5en.48xlarge | | Microsoft | Phi-3.5-mini-instruct | huggingface-llm-phi-3-5-mini-instruct | Generazione di testo | mit | No | ml.g5.48xlarge, ml.p4d.24xlarge | | Microsoft | Rilevamento di trasformatori da tavolo | huggingface-od-microsoft-table-transformer-detection | Rilevamento di oggetti | mit | No | ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.xlarge, ml.g6.2xlarge, ml.g6.4xlarge, ml.g6e.2xlarge, ml.g6e.2xlarge, ml.g6e.4xlarge, ml.g6e.xlarge | | Minimaxia | MiniMax-M2 | huggingface-llm-minimax-m2 | Generazione di testo | altro | No | ml.p4de.24xlarge | | Minimaxia | MiniMax-M2.1 | huggingface-llm-minimax-m2-1 | Generazione di testo | altro | No | ml.p4de.24xlarge, ml.p5,48 xlarge | | Minimaxia | MiniMax-M2.5 | huggingface-llm-minimax-m2-5 | Generazione di testo | altro | No | ml.p5.48xlarge | | Minimaxia | MiniMax-M2.7 | huggingface-llm-minimax-m2-7 | Generazione di testo | altro | No | ml.p5en.48xlarge | | Mistralai | Mistral 7B Instruct Neuron | huggingface-llmneuron-mistral-7b-instruct | Generazione di testo | apache-2.0 | No | ml.inf2,8xlarge, ml.inf2.xlarge | | Mistralai | Mistral 7B Neuron | huggingface-llmneuron-mistral-7b | Generazione di testo | apache-2.0 | No | ml.inf2,8xlarge, ml.inf2.xlarge | | Mistralai | Mistral Nemo Base 2407 | huggingface-llm-mistral-nemo-base-2407 | Generazione di testo | apache-2.0 | No | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.g6.12xlarge, ml.g6.24xlarge, ml.g6.48xlarge, ml.p4d.24xlarge | | Mistralia | Mistral Nemo Instruct 2407 | huggingface-llm-mistral-nemo-instruct-2407 | Generazione di testo | apache-2.0 | No | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.g6.12xlarge, ml.g6.24xlarge, ml.g6.48xlarge, ml.p4d.24xlarge | | Mistralia | Mistral Pixtral-12B-2409 | huggingface-vlm-mistral-pixtral-12b-2409 | Image-Text-to-Text | apache-2.0 | No | ml.g6.12xlarge, ml.g6.24xlarge, ml.g6.48xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p5,48xlarge | | Mistralai | Mistral-7B-Instruct-v0.2 | huggingface-llm-mistral-7b-instruct | Generazione di testo | apache-2.0 | No | ml.g5.12xlarge, ml.g6.24xlarge, ml.g6e.2xlarge, ml.p3.16xlarge, ml.p4d.24xlarge, ml.p5.48xlarge | | Mistralai | Mistral-7B-Instruct-v0.3 | huggingface-llm-mistral-7b-v3 | Generazione di testo | apache-2.0 | No | ml.g4dn.12xlarge, ml.g5.12xlarge, ml.g6.12xlarge, ml.g6e.2xlarge, ml.p4d.24xlarge, ml.p5.48xlarge | | Mistralia | Mistral-7B-Instruct-v0.3 | huggingface-llm-mistral-7b-instruct-v3 | Generazione di testo | apache-2.0 | No | ml.g4dn.12xlarge, ml.g5.12xlarge, ml.g6.12xlarge, ml.g6e.2xlarge, ml.p4d.24xlarge, ml.p5.48xlarge | | Mistralia | Mistral-7B-v0.1 | huggingface-llm-mistral-7b | Generazione di testo | apache-2.0 | Sì | ml.g5.12xlarge, ml.g6.12xlarge, ml.g6e.12xlarge, ml.p3.16xlarge, ml.p4d.24xlarge, ml.p5.48xlarge | | Mistralai | Mistral-Small-24B-Instruct-2501 | huggingface-llm-mistral-small-24B-Instruct-2501 | Generazione di testo | apache-2.0 | No | ml.g5.48xlarge, ml.g6.48xlarge, ml.g6e.12xlarge, ml.g6e.24xlarge, ml.p4d.24xlarge, ml.p5en.48xlarge | | Mistralai | Mistral-Small-3.1-24B-Base-2503 | huggingface-vlm-mistral-small-3-1-24b-base-2503 | Image-Text-to-Text | apache-2.0 | No | ml.g6.12xlarge, ml.g6.16xlarge, ml.g6.24xlarge, ml.g6.48xlarge, ml.g6e.12xlarge | | Mistralai | Mistral-Small-3.2-24B-Instruct-2506 | huggingface-vlm-mistral-small-3-2-24b-instruct-2506 | Image-Text-to-Text | apache-2.0 | No | ml.g6.12xlarge, ml.g6.16xlarge, ml.g6.24xlarge, ml.g6.48xlarge, ml.g6e.12xlarge | | Mistralai | Mixtral 8x7B | huggingface-llm-mixtral-8x7b | Generazione di testo | apache-2.0 | Sì | ml.g5,48 xlarge, ml.g6,48 xlarge, ml.p4d.24xlarge, ml.p5,48 xlarge | | Mistralai | Mixtral-8x22B V1 | huggingface-llm-mixtral-8x22B | Generazione di testo | apache-2.0 | No | ml.p4d.24xlarge, ml.p4de.24xlarge | | Mistralai | Mixtral-8x22B-Instruct-v0.1 | huggingface-llm-mistralai-mixtral-8x22B-instruct-v0-1 | Generazione di testo | apache-2.0 | No | ml.p4de.24xlarge, ml.p5,48 xlarge | | Mistralai | Mixtral-8x7B-Instruct-v0.1 | huggingface-llm-mixtral-8x7b-instruct | Generazione di testo | apache-2.0 | Sì | ml.g5.48xlarge, ml.g6.48xlarge, ml.g6e.12xlarge, ml.p4d.24xlarge, ml.p5.48xlarge, ml.p5en.48xlarge | | Moonshotai | Kimi-K2.5 | huggingface-llm-kimi-k2-5 | Generazione di testo | altro | No | ml.p5en.48xlarge | | Moritzlaurer | MoritzLaurer MDeBERTa V3 Base Xnli Multilingue Nli 2mil7 | huggingface-zstc-moritzlaurer-mdeberta3base-xnli-mling-nli-2m7 | Zero-Shot Classificazione | mit | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Mosaico ml | MPT 7B BF16 | huggingface-textgeneration1-mpt-7b-bf16 | Generazione di testo | Apache-2.0 | No | ml.g 5,16 xlarge, ml.g 5.2xlarge, ml.g 5.4xlarge, ml.g 5.8xlarge | | Mosaico ml | MPT 7B Instruct BF16 | huggingface-textgeneration1-mpt-7b-instruct-bf16 | Generazione di testo | CC-BY-SA-3.0 | No | ml.g 5,16 xlarge, ml.g 5.2xlarge, ml.g 5.4xlarge, ml.g 5.8xlarge | | Mrm 8488 | Bert Small 2 Bert | huggingface-summarization-bert-small2bert-cnn-dailymail-summ | Sintesi testuale | apache-2.0 | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Mxnet | Incorporamento di testi finanziari | mxnet-tcembedding-robertafin-base-uncased | Incorporamento del testo | apache-2.0 | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Mxnet | RoBERTa-SEC-Large | mxnet-tcembedding-robertafin-large-uncased | Incorporamento del testo | apache-2.0 | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Mxnet | RoBERTa-SEC-WIKI-Base | mxnet-tcembedding-robertafin-base-wiki-uncased | Incorporamento del testo | apache-2.0 | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Mxnet | RoBERTa-SEC-WIKI-Large | mxnet-tcembedding-robertafin-large-wiki-uncased | Incorporamento del testo | apache-2.0 | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Naclbit | Diffusione stabile Naclbit Trinart V2 | huggingface-txt2img-naclbit-trinart-stable-diffusion-v2 | Text-to-Image | creativeml-openrail-m | No | ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | Narsillo | Narsil Deberta Large Mnli Zero Cls | huggingface-zstc-narsil-deberta-large-mnli-zero-cls | Zero-Shot Classificazione | mit | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Nexaai | Nexaai Octopus-v2 | huggingface-llm-nexaaidev-octopus-v2 | Generazione di testo | cc-by-nc-4.0 | No | ml.g5.16xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge | | Nexus flow | Flusso Nexus Starling-LM-7B-beta | huggingface-llm-nexusflow-starling-lm-7b-beta | Generazione di testo | apache-2.0 | No | ml.g5.16xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge | | Nessuna ricerca | Hermes 2 8B Pro-Llama-3 | huggingface-llm-nousresearch-hermes-2-pro-llama-3-8B | Generazione di testo | lama 3 | No | ml.g5.12xlarge, ml.g5.16xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p5.48xlarge | | Nessuna ricerca | Nous Hermes 2 SOLAR 10,7 GB | huggingface-llm-nousresearch-nous-hermes-2-solar-10-7b | Generazione di testo | apache-2.0 | No | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge | | Nova | Nova 2.0 Lite | nova-textgeneration-lite-v2 | Generazione di testo | AWS Termini del servizio | Sì | | | Nova | Nova Lite | nova-textgeneration-lite | Generazione di testo | AWS Termini del servizio | Sì | | | Nova | Nova Micro | nova-textgeneration-micro | Generazione di testo | AWS Termini del servizio | Sì | | | Nova | Nova Pro | nova-textgeneration-pro | Generazione di testo | AWS Termini del servizio | Sì | | | Nvidia | Nvidia 8B Llama3-ChatQA-1.5 | huggingface-llm-nvidia-llama3-chatqa-1-5-8B | Generazione di testo | lama 3 | No | ml.g5.12xlarge, ml.g5.16xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p5.48xlarge | | Nvidia | NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 | huggingface-reasoning-nvidia-nemotron-3-nano-30b-a3b-bf16 | Ragionamento | altro | No | ml.g6e.24xlarge, ml.g7e.12xlarge | | Nvidia | NVIDIA-Nemotron-3-Super-120B-A12B-FP8 | huggingface-reasoning-nvidia-nemotron-3-super-120b-a12b-fp8 | Ragionamento | altro | No | ml.g7e.24xlarge | | Nvidia | nvidia-nemotron3-nano-omni-30ba3b-reasoning-fp8 | huggingface-vlm-nvidia-nemotron3-nano-omni-30ba3b-reasoning-fp8 | Image-Text-to-Text | altro | No | ml.g6.12xlarge, ml.g6.24xlarge, ml.g6e.12xlarge, ml.g6e.24xlarge | | Openai | gpt-oss-120b | openai-reasoning-gpt-oss-120b | Ragionamento | apache-2.0 | Sì | ml.g6e.48xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p5,48xlarge, ml.p5en.48xlarge | | Openai | gpt-oss-20b | openai-reasoning-gpt-oss-20b | Ragionamento | apache-2.0 | Sì | ml.g5.12xlarge, ml.g5.24xlarge, ml.g6.12xlarge, ml.g6.24xlarge, ml.p5.48xlarge, ml.p5en.48xlarge | | Openai | Whisper Base | huggingface-asr-whisper-base | Riconoscimento vocale automatico | apache-2.0 | No | ml.g4dn.2xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | Openai | Whisper Large | huggingface-asr-whisper-large | Riconoscimento vocale automatico | apache-2.0 | No | ml.g4dn.2xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | Openai | Whisper Large V2 | huggingface-asr-whisper-large-v2 | Riconoscimento vocale automatico | apache-2.0 | No | ml.g4dn.2xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | Openai | Whisper Large V3 | huggingface-asr-whisper-large-v3 | Riconoscimento vocale automatico | apache-2.0 | No | ml.g4dn.2xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | Openai | Whisper Large V3 Turbo | huggingface-asr-whisper-large-v3-turbo | Riconoscimento vocale automatico | mit | No | ml.g4dn.2xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | Openai | Whisper Medium | huggingface-asr-whisper-medium | Riconoscimento vocale automatico | apache-2.0 | No | ml.g4dn.2xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | Openai | Whisper Small | huggingface-asr-whisper-small | Riconoscimento vocale automatico | apache-2.0 | No | ml.g4dn.2xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | Openai | Sussurro piccolo | huggingface-asr-whisper-tiny | Riconoscimento vocale automatico | apache-2.0 | No | ml.g4dn.2xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | Openai-Community | GPT 2 | huggingface-textgeneration-gpt2 | Generazione di testo | mit | No | ml.g5.16xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge | | Openai-Community | GPT-2 XL | huggingface-textgeneration1-gpt-2-xl | Generazione di testo | mit | Sì | ml.g5,16 xlarge, ml.g5.2xlarge, ml.g 5.4xlarge, ml.g 5.8xlarge | | Openai-Community | Rilevatore OpenAI Roberta Base | huggingface-tc-roberta-base-openai-detector | Classificazione del testo | mit | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Openai-Community | Rilevatore OpenAI Roberta Base | huggingface-spc-roberta-base-openai-detector | Fill-Mask | mit | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Openai-Community | Rilevatore OpenAI Roberta Base | huggingface-eqa-roberta-base-openai-detector | Risposta alle domande | mit | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Openai-Community | Rilevatore OpenAI di grandi dimensioni RoberTa | huggingface-tc-roberta-large-openai-detector | Classificazione del testo | mit | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Openai-Community | Rilevatore OpenAI di grandi dimensioni RoberTa | huggingface-spc-roberta-large-openai-detector | Fill-Mask | mit | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Openlm-Research | Apri Llama 7B V2 | huggingface-llm-openlm-research-open-llama-7b-v2 | Generazione di testo | apache-2.0 | No | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge | | Philschmid | Bart Large CNN samsum | huggingface-summarization-bart-large-cnn-samsum | Sintesi testuale | mit | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.xlarge, ml.m5.xlarge, ml.p3.2xlarge | | Filschmid | Flan-T5 Modello base Fine-tuned sul set di dati Samsum | huggingface-text2text-flan-t5-base-samsum | Generazione Text2Text | apache-2.0 | No | ml.g5.16xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge | | Torcia | Alexa TM 20B | pytorch-textgeneration1-alexa20b | Generazione di testo | licenza software Amazon | No | ml.g4dn.12xlarge, ml.g5.16xlarge, ml.p3.16xlarge, ml.p3.8xlarge | | Qwen | Anteprima QVQ 72B | huggingface-vlm-qvq-72b-preview | Image-Text-to-Text | altro | No | ml.g5.48xlarge, ml.g6.48xlarge, ml.p4d.24xlarge | | Qwen | Qwen2 0,5 B | huggingface-llm-qwen2-0-5b | Generazione di testo | apache-2.0 | No | ml.g5.12xlarge, ml.g5.16xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p4d.24xlarge | | Qwen | Qwen2 0.5B Istruzione | huggingface-llm-qwen2-0-5b-instruct | Generazione di testo | apache-2.0 | No | ml.g5.12xlarge, ml.g5.16xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p4d.24xlarge | | Qwen | Qwen2-1.5B | huggingface-llm-qwen2-1-5b | Generazione di testo | Apache 2.0 | No | ml.g4dn.12xlarge, ml.g5.12xlarge, ml.g6.12xlarge, ml.g6e.2xlarge, ml.g6e.4xlarge, ml.g6e.xlarge | | Qwen | Qwen2-1.5B-Instruct | huggingface-llm-qwen2-1-5b-instruct | Generazione di testo | Apache 2.0 | No | ml.g4dn.xlarge, ml.g5.2xlarge, ml.g5.xlarge, ml.g6.2xlarge, ml.g6e.xlarge, ml.p3.2xlarge | | Qwen | Qwen2-7B | huggingface-llm-qwen2-7b | Generazione di testo | Apache 2.0 | No | ml.g4dn.12xlarge, ml.g5.12xlarge, ml.g5.24xlarge, ml.g6.12xlarge, ml.g6.24xlarge, ml.g6e.12xlarge, ml.g6e.16xlarge, ml.g6e.24xlarge, ml.g6e.8xlarge, ml.g6e.8xlarge, ml.g6e.xlarge | | Qwen | Qwen2-7B-Instruct | huggingface-llm-qwen2-7b-instruct | Generazione di testo | Apache 2.0 | No | ml.g4dn.12xlarge, ml.g5.12xlarge, ml.g5.24xlarge, ml.g6.12xlarge, ml.g6.24xlarge, ml.g6e.12xlarge, ml.g6e.16xlarge, ml.g6e.24xlarge, ml.g6e.4xlarge, ml.g6e.8xlarge | | Qwen | Qwen2-VL-7B-Instruct | huggingface-vlm-qwen2-vl-7b-instruct | Generazione di testo | Apache 2.0 | No | ml.g5.12xlarge, ml.g6.12xlarge, ml.g6e.12xlarge, ml.g6e.4xlarge, ml.g6e.8xlarge, ml.g6e.xlarge | | Qwen | Qwen2.5 14B Istruisci | huggingface-llm-qwen2-5-14b-instruct | Generazione di testo | apache-2.0 | Sì | ml.g5.24xlarge, ml.g5.48xlarge, ml.g6.24xlarge, ml.g6.48xlarge, ml.p4d.24xlarge | | Qwen | Qwen2.5 32B Istruisci | huggingface-llm-qwen2-5-32b-instruct | Generazione di testo | apache-2.0 | Sì | ml.g5,48 xlarge, ml.g6,48 xlarge, ml.p4d.24xlarge | | Qwen | Qwen2.5 Istruzioni Coder 32B | huggingface-llm-qwen2-5-coder-32b-instruct | Generazione di testo | apache-2.0 | No | ml.g5.24xlarge, ml.g5.48xlarge, ml.g6.24xlarge, ml.g6.48xlarge, ml.p4d.24xlarge | | Qwen | Qwen2.5 Coder 7B Istruisce | huggingface-llm-qwen2-5-coder-7b-instruct | Generazione di testo | apache-2.0 | No | ml.g5.16xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g6.16xlarge, ml.g6.4xlarge, ml.g6.8xlarge, ml.p4d.24xlarge | | Qwen | Qwen2.5-72B-Instruct | huggingface-llm-qwen2-5-72b-instruct | Generazione di testo | altro | Sì | ml.g6e.48xlarge, ml.p4d.24xlarge, ml.p5en.48xlarge | | Qwen | Qwen2.5-7B-Instruct | huggingface-llm-qwen2-5-7b-instruct | Generazione di testo | Apache 2.0 | Sì | ml.g4dn.12xlarge, ml.g5.12xlarge, ml.g6.12xlarge, ml.g6e.2xlarge, ml.g6e.4xlarge, ml.g6e.xlarge | | Qwen | Qwen3 14B | huggingface-reasoning-qwen3-14b | Ragionamento | apache-2.0 | Sì | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.g6.12xlarge, ml.g6.24xlarge, ml.g6.48xlarge, ml.p4d.24xlarge | | Qwen | Qwen3-0.6B | huggingface-reasoning-qwen3-06b | Ragionamento | Apache 2.0 | Sì | ml.g4dn.12xlarge, ml.g5.12xlarge, ml.g6.12xlarge, ml.g6e.2xlarge, ml.p4d.24xlarge, ml.p5en.48xlarge | | Qwen | Qwen3-1.7B | huggingface-reasoning-qwen3-1-7b | Ragionamento | Apache 2.0 | Sì | ml.g4dn.12xlarge, ml.g4dn.16xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g5.12xlarge, ml.g5.24xlarge, ml.g5,48xlarge, ml.g5.4xlarge, ml.g6.12xlarge, ml.g6.g6.xlarge, ml.g6.48xlarge, ml.g6.8xlarge, ml.g6.xlarge, ml.g6e.12xlarge, ml.g6e.16xlarge, ml.g6e.24xlarge, ml.g6e.2xlarge, ml.g6e.4xlarge, ml.g6e.xlarge, ml.g6e.xlarge, ml.p3.2xlarge, ml.p4d.24xlarge | | Qwen | Qwen3-30B-A3B | huggingface-reasoning-qwen3-30b-a3b | Ragionamento | Apache 2.0 | No | ml.g5.24xlarge | | Qwen | Qwen3-30B-A3B-Instruct-2507 | huggingface-reasoning-qwen3-30b-a3b-instruct-2507 | Generazione di testo | Apache 2.0 | No | ml.g5.48xlarge, ml.g6.48xlarge, ml.g6e.12xlarge, ml.p4de.24xlarge | | Qwen | Qwen3-30B-A3B-Thinking-2507 | huggingface-reasoning-qwen3-30b-a3b-thinking-2507 | Ragionamento | Apache 2.0 | No | ml.g6e.12xlarge | | Qwen | Qwen3-32B | huggingface-reasoning-qwen3-32b | Ragionamento | Apache 2.0 | Sì | ml.g5.48xlarge, ml.g6.48xlarge, ml.g6e.12xlarge, ml.p4d.24xlarge, ml.p5.48xlarge, ml.p5en.48xlarge | | Qwen | Qwen3-4B | huggingface-reasoning-qwen3-4b | Ragionamento | Apache 2.0 | Sì | ml.g4dn.12xlarge, ml.g5.12xlarge, ml.g5.16xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.xlarge, ml.g5.xlarge, ml.g6.24xlarge, ml.g6.24xlarge ml.g6.2xlarge, ml.g6.48xlarge, ml.g6.4xlarge, ml.g6.8xlarge, ml.g6.xlarge, ml.g6e.12xlarge, ml.g6e.16xlarge, ml.g6e.24xlarge, ml.g6e.2xlarge, ml.g6e.4xlarge, ml.g6e.8xlarge, ml.g6e.8xlarge, ml.g6e.xlarge, ml.p4d.24xlarge | | Qwen | Qwen3-4B-Instruct-2507 | huggingface-reasoning-qwen3-4b-instruct-2507 | Ragionamento | Apache 2.0 | No | ml.g4dn.12xlarge, ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.g6.12xlarge, ml.g6.24xlarge, ml.g6.48xlarge, ml.g6e.12xlarge, ml.g6e.24xlarge, ml.p4d.24xlarge | | Qwen | Qwen3-8B | huggingface-reasoning-qwen3-8b | Ragionamento | Apache 2.0 | Sì | ml.g4dn.12xlarge, ml.g5.12xlarge, ml.g6.12xlarge, ml.g6e.12xlarge, ml.p4d.24xlarge, ml.p5.48xlarge | | Qwen | Qwen3-Coder-30B-A3B-Instruct | huggingface-reasoning-qwen3-coder-30b-a3b-instruct | Ragionamento | Apache 2.0 | No | ml.g6e.24xlarge | | Qwen | Qwen3-Coder-Next | huggingface-reasoning-qwen3-coder-next | Ragionamento | Apache 2.0 | No | ml.g7e.24xlarge, ml.g7e.48xlarge, ml.p4d.24xlarge, ml.p5en.48xlarge | | Qwen | Qwen3-Next-80B-A3B-Instruct | huggingface-reasoning-qwen3-next-80b-a3b-instruct | Generazione di testo | Apache 2.0 | No | ml.g6e.48xlarge, ml.p4de.24xlarge | | Qwen | Qwen3-VL-8B-Instruct | huggingface-vlm-qwen3-vl-8b-instruct | Generazione di testo | Apache 2.0 | No | ml.g6e.24xlarge, ml.g6e.48xlarge, ml.p4d.24xlarge | | Qwen | Qwen3.5-0.8B | huggingface-vlm-qwen3-5-0-8b | Generazione di testo | Apache 2.0 | No | ml.g6.4xlarge, ml.g6e.12xlarge, ml.g6e.2xlarge, ml.g6e.4xlarge, ml.g6e.xlarge, ml.g7e.4xlarge | | Qwen | Qwen3.5-27b | huggingface-vlm-qwen3-5-27b | Generazione di testo | Apache 2.0 | Sì | ml.g6.48xlarge | | Qwen | Qwen3.5-27B-FP8 | huggingface-vlm-qwen3-5-27b-fp8 | Image-Text-to-Text | Apache 2.0 | No | ml.g6.24xlarge | | Qwen | Qwen3.5-2B | huggingface-vlm-qwen3-5-2b | Generazione di testo | Apache 2.0 | No | ml.g6.12xlarge, ml.g6e.12xlarge, ml.g6e.2xlarge, ml.g6e.4xlarge, ml.g6e.8xlarge, ml.g6e.xlarge | | Qwen | Qwen3.5-4B | huggingface-vlm-qwen3-5-4b | Generazione di testo | Apache 2.0 | Sì | ml.g6.12xlarge, ml.g6e.24xlarge, ml.g7e.12xlarge, ml.g7e.2xlarge, ml.g7e.4xlarge, ml.g7e.8xlarge | | Qwen | Qwen3.5-9b | huggingface-vlm-qwen3-5-9b | Generazione di testo | Apache 2.0 | Sì | ml.g6.24xlarge, ml.g6.48xlarge | | Qwen | Qwen3.6-27B | huggingface-vlm-qwen3-6-27b | Image-Text-to-Text | Apache 2.0 | No | ml.g7e.12xlarge, ml.g7e.24xlarge, ml.g7e.48xlarge, ml.p5en.48xlarge | | Qwen | Qwen3.6-35B-A3B | huggingface-vlm-qwen3-6-35b-a3b | Generazione di testo | Apache 2.0 | No | ml.g6e.24xlarge, ml.g6e.48xlarge, ml.p5,48xlarge, ml.p5en.48xlarge | | Qwen | QwQ 32 B | huggingface-llm-qwq-32b | Generazione di testo | apache-2.0 | No | ml.g5.24xlarge, ml.g5.48xlarge, ml.g6.24xlarge, ml.g6.48xlarge, ml.p4d.24xlarge | | Riconoscere | Recognai Bert Base Spanish Wwm Cased Xnli | huggingface-zstc-recognai-bert-base-spanish-wwm-cased-xnli | Zero-Shot Classificazione | mit | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Riconoscere | Riconosci Zeroshot Selectra Medium | huggingface-zstc-recognai-zeroshot-selectra-medium | Zero-Shot Classificazione | apache-2.0 | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Rinna | Istruzioni PPO per GPT NeoX 3.6B in giapponese Rinna | huggingface-llm-rinna-3-6b-instruction-ppo-bf16 | Generazione di testo | mit | No | ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.xlarge | | Salesforce | Salesforce SFR-Embedding-2 \_R | huggingface-textembedding-sfr-embedding-2-r | Incorporamento del testo | CC-BY-NC-4.0 | No | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.xlarge, ml.g6.12xlarge, ml.g6.24xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.8xlarge, ml.g6.xlarge, ml.p4d.24xlarge | | Salesforce | Salesforce SFR-Embedding-Mistral | huggingface-textembedding-sfr-embedding-mistral | Incorporamento del testo | CC-BY-NC-4.0 | No | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.xlarge, ml.g6.12xlarge, ml.g6.24xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.8xlarge, ml.g6.xlarge, ml.p4d.24xlarge | | Sentence-Transformers | Tutti i miniLM L6 v2 | huggingface-textembedding-all-MiniLM-L6-v2 | Incorporamento del testo | Apache-2.0 | No | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.xlarge, ml.g6.12xlarge, ml.g6.24xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.8xlarge, ml.g6.xlarge, ml.p4d.24xlarge | | Sentence-Transformers | Tutti i miniLM L6 v2 | huggingface-sentencesimilarity-all-MiniLM-L6-v2 | Somiglianza di frasi | apache-2.0 | Sì | ml.c6i.xlarge, ml.g4dn.2xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | Sentence-Transformers | Parafrasi Multilingual MiniLM L12 v2 | huggingface-textembedding-paraphrase-multilingual-MiniLM-L12-v2 | Incorporamento del testo | Apache-2.0 | No | ml.g5.xlarge, ml.g6.xlarge, ml.g6e.xlarge | | Shenzhi-Wang | Chat cinese Llama3 8B | huggingface-llm-shenzhi-wang-llama3-8B-chinese-chat | Generazione di testo | Llama3 | No | ml.g 5,16 xlarge, ml.g 5.2xlarge, ml.g 5.4xlarge, ml.g 5.8xlarge | | Snowflake | Snowflake Arctic Instruct Vllm | huggingface-llm-snowflake-arctic-instruct-vllm | Generazione di testo | apache-2.0 | No | ml.p5.48xlarge | | guinzaglio | Bielik-11B-v3.0-Instruct | huggingface-llm-bielik-11b-v3-0-instruct | Generazione di testo | apache-2.0 | No | ml.g5.12xlarge, ml.g6.12xlarge, ml.g6e.12xlarge, ml.g7e.2xlarge, ml.p4d.24xlarge, ml.p5en.48xlarge | | Sasleifer | Distilbart CNN 12-6 | huggingface-summarization-distilbart-cnn-12-6 | Sintesi testuale | apache-2.0 | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Shelifer | Distilbart CNN 6-6 | huggingface-summarization-distilbart-cnn-6-6 | Sintesi testuale | apache-2.0 | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Shelifer | Sintesi testuale | huggingface-summarization-distilbart-xsum-1-1 | Sintesi testuale | apache-2.0 | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Stabilità ai | StableLM Instruct Alpha 7B v2 giapponese | model-textgenerationjp-japanese-stablelm-instruct-alpha-7b-v2 | Generazione di testo | Apache-2.0 | No | ml.g5.12xlarge, ml.g5.16xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge | | Stabilità ai | Diffusione stabile 2 | model-txt2img-stabilityai-stable-diffusion-v2 | Text-to-Image | creativeml-openrail\+\+-m | No | ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | Stabilità ai | Diffusione stabile a 2 profondità FP16 | model-depth2img-stable-diffusion-2-depth-fp16 | Image-to-Image | creativeml-openrail\+\+-m | No | ml.g4dn.16xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g4dn.xlarge, ml.g5.16xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge, ml.p3.2xlarge | | Stabilità ai | Diffusione stabile 2 FP16 | model-txt2img-stabilityai-stable-diffusion-v2-fp16 | Text-to-Image | creativeml-openrail\+\+-m | No | ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | Stabilità ai | Diffusione stabile 2 nella pittura | model-inpainting-stabilityai-stable-diffusion-2-inpainting | Image-to-Image | creative ml-openrail\+\+-m | No | ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | Stabilità ai | Diffusione stabile 2 Inpainting FP16 | model-inpainting-stabilityai-stable-diffusion2-inpainting-fp16 | Image-to-Image | creative ml-openrail\+\+-m | No | ml.g4dn.xlarge, ml.g5.2xlarge, ml.p3.2xlarge | | Stabilità ai | Diffusione stabile 2 Inpainting FP16 | model-inpainting-stabilityai-stable-diffusion-2-inpainting-fp16 | Image-to-Image | creative ml-openrail\+\+-m | No | ml.g4dn.xlarge, ml.g5.2xlarge, ml.p3.2xlarge | | Stabilità ai | Stable Diffusion 2.1 | model-txt2img-stabilityai-stable-diffusion-v2-1-base | Text-to-Image | creativeml-openrail\+\+-m | Sì | ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | Stabilità ai | Diffusione stabile 2.1 Neurone | huggingface-txt2imgneuron-stabilityai-stable-diffusion-v2-1 | Text-to-Image | creativeml-openrail\+\+-m | No | ml.inf2.24xlarge, ml.inf2.48xlarge, ml.inf2.8xlarge, ml.inf2.xlarge | | Stabilità ai | Upscaler Stable Diffusion x4 FP16 | model-upscaling-stabilityai-stable-diffusion-x4-upscaler-fp16 | Image-to-Image | openrail \+\+ | No | ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | Stabilità ai | Stable Diffusion XL 1.0 (open source) | model-imagegeneration-stabilityai-stable-diffusion-xl-base-1-0 | Text-to-Image | openrail\+\+ | No | ml.g5.16xlarge, ml.g5.4xlarge, ml.g5.8xlarge | | Stabilità ai | Neurone a diffusione stabile XL Base 1.0 | huggingface-txt2imgneuron-stabilityai-stable-diffusion-xlbase1 | Text-to-Image | openrail\+\+ | No | ml.inf2.24xlarge, ml.inf2.48xlarge, ml.inf2.8xlarge, ml.inf2.xlarge | | Swiss-Ai | Apertus 70B 2509 | huggingface-llm-apertus-70b-2509 | Generazione di testo | apache-2.0 | No | ml.g5.48xlarge, ml.g6.48xlarge, ml.g6e.48xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p5en.48xlarge, ml.p5en.48xlarge | | Swiss-Ai | Apertus 70B Instruct 2509 | huggingface-llm-apertus-70b-instruct-2509 | Generazione di testo | apache-2.0 | No | ml.g5.48xlarge, ml.g6.48xlarge, ml.g6e.48xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p5en.48xlarge, ml.p5en.48xlarge | | Swiss-Ai | Apertus 8B Instruct 2509 | huggingface-llm-apertus-8b-instruct-2509 | Generazione di testo | apache-2.0 | No | ml.g5.12xlarge, ml.g5.16xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.xlarge, ml.g6.12xlarge, ml.g6.12xlarge, ml.g6.2xlarge, ml.g6.2xlarge, ml.g6.2xlarge, ml.g6.2xlarge, ml.g6.2xlarge, ml.g6.2xlarge, ml.g6.2xlarge, ml.g6.48xlarge, ml.g6.4xlarge, ml.g6.8xlarge, ml.g6.xlarge, ml.g6e.12xlarge, ml.g6e.16xlarge, ml.g6e.24xlarge, ml.g6e.2xlarge, ml.g6e.48xlarge, ml.g6e.4xlarge, ml.g6e.8xlarge, ml.g6e.8xlarge, ml.g6e.8xlarge, .g6e.xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p5,48xlarge, ml.p5en.48xlarge | | Il tizio | Domande frequenti su Mistral 7B OpenOrca | huggingface-llm-thebloke-mistral-7b-openorca-awq | Generazione di testo | apache-2.0 | No | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge | | Il tizio | GPTQ Mistral 7B OpenOrca | huggingface-llm-mistral-7b-openorca-gptq | Generazione di testo | apache-2.0 | No | ml.g5.12xlarge, ml.g5.16xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p5.48xlarge, ml.p5.48xlarge | | Il tizio | Mixtral 8x7B Instruct GPTQ | huggingface-llm-mixtral-8x7b-instruct-gptq | Generazione di testo | apache-2.0 | No | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.p4d.24xlarge | | Quindi lper | GTE Large | huggingface-sentencesimilarity-gte-large | Somiglianza di frasi | mit | Sì | ml.c6i.xlarge, ml.g4dn.2xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | Quindi lper | GTE Small | huggingface-sentencesimilarity-gte-small | Somiglianza di frasi | mit | Sì | ml.c6i.xlarge, ml.g4dn.2xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | Tiiuae | Falcon 180 B BF16 | huggingface-llm-falcon-180b-bf16 | Generazione di testo | sconosciuto | No | ml.p4de.24xlarge, ml.p5,48 xlarge | | Tiiuae | Falcon 180B Chat BF16 | huggingface-llm-falcon-180b-chat-bf16 | Generazione di testo | sconosciuto | No | ml.p4de.24xlarge, ml.p5.48xlarge | | Tiiuae | Falcon 40B BF16 | huggingface-llm-falcon-40b-bf16 | Generazione di testo | Apache 2.0 | Sì | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.p4d.24xlarge | | Tiiue | Falcon 40B Instruct BF16 | huggingface-llm-falcon-40b-instruct-bf16 | Generazione di testo | Apache 2.0 | Sì | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.p4d.24xlarge | | Tiiue | Falcon 7B BF16 | huggingface-llm-falcon-7b-bf16 | Generazione di testo | Apache 2.0 | Sì | ml.g5.16xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge | | Tiiuae | Falcon 7B Instruct BF16 | huggingface-llm-falcon-7b-instruct-bf16 | Generazione di testo | Apache 2.0 | Sì | ml.g5.16xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge | | Tiiuae | Falcon RW 1B | huggingface-llm-tiiuae-falcon-rw-1b | Generazione di testo | Apache 2.0 | No | ml.g5.2xlarge | | Tiiuae | Falcon-H1-0.5B-Instruct | huggingface-llm-falcon-h1-0-5b-instruct | Generazione di testo | altro | No | ml.g4dn.12xlarge, ml.g4dn.16xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g4dn.xlarge, ml.g5.12xlarge, ml.g5.16xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.2xlarge, ml.g5.g5.2xlarge, ml.g5.2xlarge, ml.g5.16xlarge, ml.g5.2xlarge, ml.g5.2xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.2xlarge, ml.g5.2xlarge, ml.g5.2xlarge, ml.g5.2xlarge, ml.48 xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.xlarge, ml.g6.12xlarge, ml.g6.16xlarge, ml.g6.24xlarge, ml.g6.2xlarge, ml.g6.48xlarge, ml.g6.4xlarge, ml.g6.xlarge, ml.g6.xlarge, ml.g6.xlarge, ml.g6,4xlarge, ml.g6xlarge, ml.g6xlarge, ml.g6xlarge, ml.g6,4xlarge, ml.g6.xlarge, ml.g6.xlarge, ml.g6,4xlarge, ml.g6.xlarge, ml.g6.xlarge, ml.g6.xlarge, ml.g6.xlarge, ml.g6,4xlarge, 12xlarge, ml.g6e.16xlarge, ml.g6e.24xlarge, ml.g6e.2xlarge, ml.g6e.4xlarge, ml.g6e.8xlarge, ml.g6e.xlarge, ml.p3.2xlarge, ml.p4d.24xlarge | | Tiiuae | Falcon-H1-1.5B-Deep-Instruct | huggingface-llm-falcon-h1-1-5b-deep-instruct | Generazione di testo | altro | No | ml.g5.16xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g6.16xlarge, ml.g6.2xlarge, ml.g6.4xlarge, ml.g6.8xlarge, ml.g6.xlarge, ml.g6e.16xlarge, ml.g6e.2xlarge, ml.g6e.4xlarge, ml.g6e.4xlarge, ml.g6e.4xlarge, ml.g6e.4xlarge, ml.g6e.4xlarge, ml.g6e.4xlarge, ml.g6e.4xlarge 8xlarge, ml.g6e.xlarge | | Tiiuae | Falcon-H1-1.5B-Instruct | huggingface-llm-falcon-h1-1-5b-instruct | Generazione di testo | altro | No | ml.g6.12xlarge, ml.g6.16xlarge, ml.g6.24xlarge, ml.g6.2xlarge, ml.g6.48xlarge, ml.g6.4xlarge, ml.g6.8xlarge, ml.g6.xlarge, ml.g6e.12xlarge, ml.g6e.16xlarge, ml.g6e.24xlarge, ml.g6e.24xlarge, ml.g6e.24xlarge, ml.g6e.2xlarge, ml.g6e.48xlarge, ml.g6e.4xlarge, ml.g6e.8xlarge, ml.g6e.xlarge | | Tiiuae | Falcon-H1-34B-Instruct | huggingface-llm-falcon-h1-34b-instruct | Generazione di testo | altro | No | ml.g6e.12xlarge, ml.g6e.24xlarge, ml.g6e.48xlarge | | Tiiuae | Falcon-H1-3B-Instruct | huggingface-llm-falcon-h1-3b-instruct | Generazione di testo | altro | No | ml.g6e.16xlarge, ml.g6e.2xlarge, ml.g6e.4xlarge, ml.g6e.8xlarge, ml.g6e.xlarge | | Tiuae | Falcon-H1-7B-Instruct | huggingface-llm-falcon-h1-7b-instruct | Generazione di testo | altro | No | ml.g6e.12xlarge, ml.g6e.24xlarge | | Tiiuae | Falcon2-11B | huggingface-llm-falcon2-11b | Generazione di testo | sconosciuto | No | ml.g5,12 xlarge, ml.g5.24xlarge, ml.g 5,48 xlarge, ml.p4d.24xlarge | | Tiiue | Falcon3-10B-Base | huggingface-llm-falcon-3-10B-base | Generazione di testo | altro | No | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.g6.12xlarge, ml.g6.24xlarge, ml.g6.48xlarge, ml.p4d.24xlarge, ml.p5.48xlarge, ml.p5.48xlarge | | Tiiuae | Falcon3-10B-Instruct | huggingface-llm-falcon-3-10B-Instruct | Generazione di testo | altro | No | ml.g4dn.12xlarge, ml.g5.12xlarge, ml.g5.24xlarge, ml.g6.12xlarge, ml.g6.24xlarge, ml.g6e.12xlarge, ml.g6e.16xlarge, ml.g6e.24xlarge, ml.g6e.8xlarge, ml.g6e.8xlarge, ml.g6e.xlarge | | Tiiuae | Falcon3-1B-Instruct | huggingface-llm-falcon-3-1B-Instruct | Generazione di testo | altro | No | ml.g4dn.xlarge, ml.g5.xlarge, ml.g6.xlarge, ml.g6e.xlarge, ml.p3.2xlarge, ml.p4d.24xlarge | | Tiiuae | Falcon3-3B-Base | huggingface-llm-falcon-3-3B-base | Generazione di testo | altro | No | ml.g5.12xlarge, ml.g5.16xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.xlarge, ml.g6.12xlarge, ml.g6.12xlarge, ml.g6.2xlarge, ml.g6.2xlarge, ml.g6.2xlarge, ml.g6.2xlarge, ml.g6.2xlarge, ml.g6.2xlarge, ml.g6.2xlarge, ml.g6.48xlarge, ml.g6.4xlarge, ml.g6.8xlarge, ml.g6.xlarge, ml.p4d.24xlarge, ml.p5.48xlarge | | Tiiuae | Falcon3-3B-Instruct | huggingface-llm-falcon-3-3B-Instruct | Generazione di testo | altro | No | ml.g4dn.12xlarge, ml.g4dn.16xlarge, ml.g4dn.4xlarge, ml.g5.12xlarge, ml.g5.16xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.xlarge, ml.g6.12xlarge, ml.g6.16xlarge, ml.g6.16xlarge, ml.g6.16xlarge, ml.g6.16xlarge, ml.g6.16xlarge, ml.g6.16xlarge, ml.g6.16xlarge, ml.g6.16xlarge, ml.g6.16xlarge, ml.g6.16xlarge, ml.g6.16xlarge, ml.g6.16xlarge, ml.g6.16xlarge, ml.g6.24xlarge, ml.g6.2xlarge, ml.g6.4xlarge, ml.g6.8xlarge, ml.g6e.12xlarge, ml.g6e.16xlarge, ml.g6e.24xlarge, ml.g6e.2xlarge, ml.g6e.8xlarge, ml.g6e.xlarge, ml.p3.2xlarge | | Tiiuae | Falcon3-7B-Base | huggingface-llm-falcon-3-7B-base | Generazione di testo | altro | No | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.g6.12xlarge, ml.g6.24xlarge, ml.g6.48xlarge, ml.p4d.24xlarge, ml.p5.48xlarge, ml.p5.48xlarge | | Tiiuae | Falcon3-7B-Instruct | huggingface-llm-falcon-3-7B-Instruct | Generazione di testo | altro | No | ml.g4dn.12xlarge, ml.g5.12xlarge, ml.g5.24xlarge, ml.g6.12xlarge, ml.g6.24xlarge, ml.g6e.12xlarge, ml.g6e.24xlarge, ml.g6e.2xlarge, ml.g6e.4xlarge, ml.g6e.8xlarge, ml.g6e.xlarge | | Tinyllama | Tiny Llama 1.1B | huggingface-llm-tinyllama-1-1b-intermediate-step-1431k-3 | Generazione di testo | apache-2.0 | No | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.2xlarge | | Tinyllama | Chat Tiny Llama 1.1B V0.6 | huggingface-llm-tinyllama-tinyllama-1-1b-chat-v0-6 | Generazione di testo | apache-2.0 | No | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.2xlarge | | Tinyllama | Tiny Llama 1.1B Chat V1 | huggingface-llm-tinyllama-tinyllama-1-1b-chat-v1-0 | Generazione di testo | apache-2.0 | No | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.2xlarge | | Computer insieme | RedPajama INCITE Chat 3B V1 | huggingface-textgeneration1-redpajama-incite-chat-3B-v1-fp16 | Generazione di testo | apache-2.0 | Sì | ml.g5.16xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge | | Computer insieme | RedPajama INCITE Chat 7B V1 | huggingface-textgeneration1-redpajama-incite-chat-7B-v1-fp16 | Generazione di testo | apache-2.0 | Sì | ml.g5.16xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge | | Computer insieme | RedPajama INCITE Instruct 3B V1 | huggingface-textgeneration1-redpajama-incite-instruct-3Bv1fp16 | Generazione di testo | apache-2.0 | Sì | ml.g5.16xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge | | Computer insieme | RedPajama INCITE Instruct 7B V1 | huggingface-textgeneration1-redpajama-incite-instruct-7B1fp16 | Generazione di testo | apache-2.0 | Sì | ml.g5.16xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge | | Tokyotech-Llm | Swallow-7b-instruct-hf | huggingface-llm-swallow-7b-instruct-hf | Generazione di testo | lama 2 | No | ml.g4dn.12xlarge, ml.g5.12xlarge, ml.g5.16xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.xlarge, ml.g5.xlarge, ml.g6.24xlarge, ml.g6.24xlarge ml.g6.2xlarge, ml.g6.48xlarge, ml.g6.4xlarge, ml.g6.8xlarge, ml.g6.xlarge, ml.g6e.12xlarge, ml.g6e.16xlarge, ml.g6e.4xlarge, ml.g6e.8xlarge, ml.p3.16xlarge, ml.p3.8xlarge, ml.p3.8xlarge | | Volrath 50 | diffusione di carte fantasy volrath50 | huggingface-txt2img-volrath50-fantasy-card-diffusion | Text-to-Image | creativeml-openrail-m | No | ml.g4dn.2xlarge, ml.g4dn.xlarge, ml.p3.2xlarge | | Istanza di scrittura | Writer Palmyra Small | huggingface-llm-writer-palmyra-small | Generazione di testo | apache-2.0 | No | ml.g5.2xlarge | ------ #### [ Proprietary Models (121) ] I modelli di base proprietari sono offerti da fornitori terzi tramite Amazon SageMaker JumpStart. Per utilizzare un modello di base proprietario, devi prima abbonarti al modello in AWS Marketplace. Dopo l'abbonamento, puoi individuare e distribuire il modello base in Amazon SageMaker Studio. | Nome modello | ID modello | Operazione | Fine-tunable | Tipi di istanze di inferenza supportati | | --- | --- | --- | --- | --- | | A.X 4.0 Leggero | sk-telecom-ax4-light | Generazione di testo | No | ml.g5.2xlarge | | AI21 Risposte contestuali | ai21-contextual-answers | Generazione di testo | No | ml.g5.12xlarge, ml.g5.48xlarge, ml.p4d.24xlarge, ml.g4dn.12xlarge | | Luce Jurassic-2 AI21 | ai21-jurassic-2-light | Generazione di testo | No | ml.g4dn.12xlarge, ml.g5.12xlarge, ml.g5,48xlarge, ml.p4d.24xlarge | | AI21 Jurassic-2 Medio | ai21-jurassic-2-grande-instruct | Generazione di testo | No | ml.g5.12xlarge, ml.g5.48xlarge, ml.p4d.24xlarge, ml.g4dn.12xlarge | | AI21 Jurassic-2 Ultra | ai21-jurassic-2-jumbo-instruct | Generazione di testo | No | ml.g5.48xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge | | Parafrasi AI21 | ai21-paraphrase | Generazione di testo | No | ml.g4dn.2xlarge | | AI21 Riassumi | ai21-summarization | Generazione di testo | No | ml.g4dn.4xlarge, ml.g4dn.12xlarge, ml.g5.xlarge | | Arcee Lite | arcee-lite | Generazione di testo | No | ml.g5.xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.16xlarge, ml.g6.xlarge, ml.g6.2xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.8xlarge, ml.g6.16xlarge | | Arcee SuperNova | arcee-supernova | Generazione di testo | No | ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p5,48 xlarge | | Arcee Virtuoso Small | arcee-virtuoso-small | Generazione di testo | No | ml.g5.12xlarge, ml.g5.24xlarge, ml.g6.12xlarge, ml.g6.24xlarge, ml.g6e.12xlarge, ml.g6e.24xlarge, ml.g5.48xlarge, ml.g6.48xlarge, ml.g6e.48xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p4de.24xlarge, ml.g6e.48xlarge, ml.p4de.24xlarge, ml.p4de.24xlarge, ml.g6e.48xlarge, ml.p4de.24xlarge, ml.p4de.24xlarge, ml.g6e.48xlarge, ml.p4de.24xlarge, ml.p4de.24xlarge, .p5,48 x grande | | Pubblicità Bria 2.2HD Text-to-image | bria-ai-2-2-hd-commercial | ReRank | No | ml.g5.2xlarge, ml.g5.12xlarge, ml.g5.48xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge | | Bria 2.3 Commerciale Text-to-image | bria-ai-2-3-commercial | ReRank | No | ml.g5.2xlarge, ml.g5.12xlarge, ml.g5.48xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge | | Bria 2.3 Fast Commercial Text-to-image | bria-ai-2-3-fast-commercial | ReRank | No | ml.g5.2xlarge, ml.g5.12xlarge, ml.g5.48xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge | | Cohere Command R (A100) | cohere-command-r-a100 | Generazione di testo | No | ml.p4de.24xlarge | | Cohere Command R (H100) | cohere-command-r-h100 | Generazione di testo | No | ml.p5.48xlarge | | Comando Cohere R\+ (A100) | cohere-command-r-plus-a100 | Generazione di testo | No | ml.p4de.24xlarge | | Comando Cohere R\+ (H100) | cohere-command-r-plus-h100 | Generazione di testo | No | ml.p5.48xlarge | | Cohere Embed 4 | cohere-embed-v4-0 | Incorporamento del testo | No | ml.g5.xlarge, ml.g5.2xlarge, ml.g6.xlarge, ml.g6.xlarge, ml.g6.2xlarge | | Cohere Embed Light Model v3 - Inglese | cohere-embed-light-english | Incorporamento del testo | No | ml.p3.2xlarge, ml.g4dn.xlarge, ml.g4dn.2xlarge, ml.g5.xlarge, ml.g5.2xlarge | | Cohere Embed Light v3 - Multilingue | cohere-embed-light-multilingual | Incorporamento del testo | No | ml.p3.2xlarge, ml.g4dn.xlarge, ml.g4dn.2xlarge, ml.g5.xlarge, ml.g5.2xlarge | | Cohere Embed Model 3 - Multilingue | cohere-embed-multilingual | Incorporamento del testo | No | ml.p3.2xlarge, ml.g4dn.xlarge, ml.g4dn.2xlarge, ml.g5.xlarge, ml.g5.2xlarge | | Cohere Embed Model v3 - Inglese | cohere-embed-english | Incorporamento del testo | No | ml.p3.2xlarge, ml.g4dn.xlarge, ml.g4dn.2xlarge, ml.g5.xlarge, ml.g5.2xlarge | | Modello Cohere Rerank 2 - Inglese | cohere-rerank-english-v2 | ReRank | No | ml.p3.2xlarge, ml.g4dn.xlarge, ml.g4dn.2xlarge, ml.g5.xlarge, ml.g5.2xlarge | | Modello Cohere Rerank 2 - Multilingue | cohere-rerank-multilingual-v2 | ReRank | No | ml.p3.2xlarge, ml.g4dn.xlarge, ml.g4dn.2xlarge, ml.g5.xlarge, ml.g5.2xlarge | | Modello Cohere Rerank 3 - Inglese | cohere-rerank-v3-english | ReRank | No | ml.g5.xlarge, ml.g5.2xlarge | | Modello Cohere Rerank 3 - Multilingue | cohere-rerank-v3-multilingual | ReRank | No | ml.g5.xlarge, ml.g5.2xlarge | | Modello Cohere Rerank 3 Nimble - inglese | cohere-rerank-nimble-english | ReRank | No | ml.g5.xlarge, ml.g5.2xlarge | | Modello Cohere Rerank 3 Nimble - Multi | cohere-rerank-nimble-multi | ReRank | No | ml.g5.xlarge, ml.g5.2xlarge | | Cohen Revank v3.5 | cohere-rerank-v3-5 | Incorporamento del testo | No | ml.g6.xlarge, ml.g6.2xlarge, ml.g5.xlarge, ml.g5.2xlarge | | Cohere Rerank v4.0 Veloce | cohere-rerank-v4-0-fast | Incorporamento del testo | No | ml.g5.xlarge, ml.g5.2xlarge, ml.p5.4xlarge | | Cohere Rerank v4.0 Pro | cohere-rerank-v4-0-pro | Incorporamento del testo | No | ml.g5.xlarge, ml.g5.2xlarge, ml.p5.4xlarge | | Comando A (A100) | cohere-command-a-a100 | Generazione di testo | No | ml.p4de.24xlarge | | Comando A (H100) | cohere-command-a-h100 | Generazione di testo | No | ml.p5.48xlarge | | Comando R 08-2024 (H100) | cohere-command-r-08-2024-h100 | Generazione di testo | No | ml.p5.48xlarge | | Comando R\+ 08-2024 (H100) | cohere-command-r-plus-08-2024-h100 | Generazione di testo | No | ml.p5.48xlarge | | Documento OCR | upstage-document-ocr | Riconoscimento ottico dei caratteri | No | ml.g5.2xlarge | | Analisi del documento | upstage-document-layout-analysis | Riconoscimento ottico dei caratteri | No | ml.g5.2xlarge, ml.g6.2xlarge, ml.p3.2xlarge | | Incastrare | upstage-solar-embedding-large | Incorporamento del testo | No | ml.g5.2xlarge | | ESM3-open | evolutionary-scale-esm3 | Generazione multimodale | No | ml.g 5,4xlarge, ml.g5.8xlarge | | Evo2-NIM | nvidia-evo2-nim | Generazione di testo | No | ml.g6e.12xlarge, ml.g6e.24xlarge, ml.g6e.48xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p5en.48xlarge, ml.p5en.48xlarge | | EXAONE Atelier - Da immagine a testo | lgresearch-exaone | Generazione di testo Image2Text | No | ml.g5.xlarge, ml.g5.12xlarge, ml.g5.48xlarge, ml.p4d.24xlarge | | Gretel Navigator Tabular | gretel-navigator-tabular | Generazione di testo | No | ml.g5.xlarge, ml.g5.2xlarge | | H-Optimus-0 | bioptimus-h-optimus-0 | Estrazione delle funzionalità | No | ml.g5.xlarge | | IBM Granite 20B Code Instruct - 8K | ibm-granite-20b-code-instruct-8k | Generazione di testo | No | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge | | Istruzioni IBM Granite 3.0 2B | granite-3-0-2b-instruct | Generazione di testo | No | ml.p4d.24xlarge, ml.p5.48xlarge | | IBM Granite 3.0 8B Istruct | granite-3-0-8b-instruct | Generazione di testo | No | ml.p4d.24xlarge, ml.p5.48xlarge | | IBM Granite 3.2 Istruct 2B | ibm-granite-3-2-2b-instruct | Generazione di testo | No | ml.g6e.2xlarge, ml.g6e.4xlarge, ml.g6e.12xlarge, ml.g6e.16xlarge, ml.g6e.24xlarge, ml.g6e.48xlarge, ml.p4d.24xlarge, ml.p5,48xlarge, ml.g6,1xlarge, ml.g6.16xlarge, ml.g6.24xlarge, ml.g6.24xlarge, ml.g6.24xlarge, ml.g6.24xlarge, ml.g6.24xlarge, ml. g 6,48 x grande | | IBM Granite 3.2 Instruct 8B | ibm-granite-3-2-8b-instruct | Generazione di testo | No | ml.g6.12xlarge, ml.g6.16xlarge, ml.g6.24xlarge, ml.g6.48xlarge, ml.g6e.2xlarge, ml.g6e.4xlarge, ml.g6e.12xlarge, ml.g6e.16xlarge, ml.g6e.24xlarge, ml.g6e.48xlarge, ml.p4d.24xlarge, ml.g6e.48xlarge, ml.p4d.24xlarge, ml.p 5,48 x grande | | IBM Granite 34B Code Instruct - 8K | ibm-granite-34b-code-instruct-8k | Generazione di testo | No | ml. g 5,12 x grande, ml. g 5,24 x grande, ml. g 5,48 x grande | | IBM Granite 3B Code Instruct - 128K | ibm-granite-3b-code-instruct-128k | Generazione di testo | No | ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.16xlarge, ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge | | IBM Granite 4.0 h-micro | ibm-granite-4-0-h-micro | Generazione di testo | No | ml.g6e.2xlarge, ml.g6e.4xlarge, ml.g6e.12xlarge, ml.g6e.16xlarge, ml.g6e.24xlarge, ml.g6e.48xlarge, ml.p4d.24xlarge, ml.p5,48xlarge | | IBM Granite 4.0 h-piccolo | ibm-granite-4-0-h-small | Generazione di testo | No | ml.g6e.2xlarge, ml.g6e.4xlarge, ml.g6e.12xlarge, ml.g6e.16xlarge, ml.g6e.24xlarge, ml.g6e.48xlarge, ml.p4d.24xlarge, ml.p5,48xlarge, ml.p5,48xlarge | | IBM Granite 4.0 h-tiny | ibm-granite-4-0-h-tiny | Generazione di testo | No | ml.g6e.2xlarge, ml.g6e.4xlarge, ml.g6e.12xlarge, ml.g6e.16xlarge, ml.g6e.24xlarge, ml.g6e.48xlarge, ml.p4d.24xlarge, ml.p5,48xlarge | | IBM Granite 8B Code Instruct - 128K | ibm-granite-8b-code-instruct-128k | Generazione di testo | No | ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.16xlarge, ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge | | ixi- GEN-Fin-7.8B | lg-ixi-gen | Generazione di testo | No | ml.g5.4xlarge | | JetBrains AI Mellum Tutti | jbai-mellum-all | generazione text2text | No | ml.g5.2xlarge, ml.g6.2xlarge, ml.g6e.xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p5.48xlarge | | JetBrains AI Mellum Kotlin | jbai-mellum-kotlin | generazione text2text | No | ml.g5.2xlarge, ml.g6.2xlarge, ml.g6e.xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p5.48xlarge | | JetBrains AI Mellum Python | jbai-mellum-python | generazione text2text | No | ml.g5.2xlarge, ml.g6.2xlarge, ml.g6e.xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p5.48xlarge | | Jina Embeddings v2 Base - it | jinaai-embeddings-v2-base-en | Incorporamento del testo | No | ml.p2.xlarge, ml.p2.8xlarge, ml.p2.16xlarge, ml.p3.2xlarge, ml.p3.8xlarge, ml.p3.16xlarge, ml.g4dn.xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g4dn.12xlarge, ml.g4dn.16xlarge, ml.g5.xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.12xlarge, ml.g5.16xlarge, ml.g5.24xlarge, ml.g5.48xlarge | | KARAKURI LM 8x7b instruct | karakuri-lm-8x7b-instruct | Generazione di testo | No | ml. g 5,48 x grande, ml. g 6,48 x grande | | LightOn Lyra-Fr 10 GB | lighton-lyra-fr | Generazione di testo | No | ml.p4d.24xlarge | | LightOn Mini-instruct 40 B | lighton-mini-instruct40b | Generazione di testo | No | ml.p4d.24xlarge | | LFM 40B liquido (A100) | liquid-lfm-40b-a100 | Generazione di testo | No | ml.p4d.24xlarge | | LFM 40B liquido (H100) | liquid-lfm-40b-h100 | Generazione di testo | No | ml.p5.48xlarge | | LFM 40B liquido (L40S) | liquid-lfm-40b-l40s | Generazione di testo | No | ml.g6e.12xlarge | | LFM 7B liquido (L40S) | liquid-lfm-7b-l40s | Generazione di testo | No | ml.g6e.xlarge, ml.g6e.2xlarge, ml.g6e.4xlarge, ml.g6e.8xlarge, ml.g6e.16xlarge | | Llama 3.1 Nemotron Nano 8B V1 | nvidia-nemotron-nano-8b-nim | Generazione di testo | No | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.g6e.2xlarge, ml.g6e.4xlarge, ml.g6e.8xlarge, ml.g6e.16xlarge, ml.g6e.12xlarge, ml.g6e.24xlarge, ml.g6e.48xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p5,48xlarge, ml.p5en.48xlarge | | Lama 3.1 SuperNova Lite | arcee-llama-3-1-supernova-lite | Generazione di testo | No | ml.g 5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.16xlarge, ml.g6.2xlarge, ml.g6.4xlarge, ml.g6.8xlarge, ml.g6.8xlarge, ml.g6.16xlarge | | Microservizio NIM Llama 3.2 NVRerankQA1b | nvidia-llama3-2-nv-rerankqa-1b-v2-nim | Generazione di testo | No | ml.g5.xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.12xlarge, ml.g5.16xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.g6.xlarge, ml.g6.xlarge, ml.g6.8xlarge, ml.g6.8xlarge, ml.g6.8xlarge, ml.g6.8xlarge, ml.g6.8xlarge, ml.g6.8xlarge, ml.g6.8xlarge, ml.g6.8xlarge, ml.g6.8xlarge, ml.g6.8xlarge, ml.g6.8xlarge, ml.g6.8xlarge, ml.g6.8xlarge, ml.g6.8xlarge, ml.ml.g6.12xlarge, ml.g6.16xlarge, ml.g6.24xlarge, ml.g6.48xlarge, ml.p4d.24xlarge, ml.p5.48xlarge, ml.g6e.xlarge, ml.g6e.2xlarge, ml.g6e.4xlarge, ml.g6e.8xlarge, ml.g6e.12xlarge, ml.g6e.12xlarge, ml.g6e.12xlarge, ml.g6e.12xlarge, ml.g6e.4xlarge, ml.g6e.12xlarge, ml.g6e.12xlarge, ml.g6e.12xlarge, ml.g6e.4xlarge, ml.g6e.12xlarge, ml.g6e.12xlarge, ml.g6e.12xlarge 6e.16xlarge, ml.g6e.24xlarge, ml.g6e.48xlarge, ml.p4de.24xlarge | | Lama 3.3 Nemotron Super 49B V1 | nvidia-nemotron-super-49b-nim | Generazione di testo | No | ml.g5.48xlarge, ml.g6e.12xlarge, ml.g6e.24xlarge, ml.g6e.48xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p5.48xlarge, ml.p5en.48xlarge, ml.p5en.48xlarge | | Llama 3.3 Nemotron Super 49B V1.5 | nvidia-nemotron-super-49b-nim-1-5 | Generazione di testo | No | ml.g5.48xlarge, ml.g6e.12xlarge, ml.g6e.24xlarge, ml.g6e.48xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p5,48xlarge, ml.p5en.48xlarge, ml.p5en.48xlarge | | Llama Spark | arcee-llama-spark | Generazione di testo | No | ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.16xlarge, ml.g6.2xlarge, ml.g6.4xlarge, ml.g6.8xlarge, ml.g6.16xlarge | | Llama-3-Varco-Offsetbias-8B | ncsoft-llama-3-varco-offsetbias-8b | Generazione di testo | No | ml.g5.12xlarge | | Llama-3.1-8B-Instruct con supporto Stained Glass Transform | protopia-llama-3-1-8b-instruct | Generazione di testo | No | ml.g4dn.12xlarge, ml.g5.4xlarge, ml.g5.16xlarge | | Llama-3.2-NV-EmbedQA-1B-v2 | nvidia-llama3-2-nv-embedqa-1b-v2-nim | Incorporamento del testo | No | ml.g5.xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.12xlarge, ml.g5.16xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.g6.xlarge, ml.g6.xlarge, ml.g6.8xlarge, ml.g6.8xlarge, ml.g6.8xlarge, ml.g6.8xlarge, ml.g6.8xlarge, ml.g6.8xlarge, ml.g6.8xlarge, ml.g6.8xlarge, ml.g6.8xlarge, ml.g6.8xlarge, ml.g6.8xlarge, ml.g6.8xlarge, ml.g6.8xlarge, ml.g6.8xlarge, ml.ml.g6.12xlarge, ml.g6.16xlarge, ml.g6.24xlarge, ml.g6.48xlarge, ml.p4d.24xlarge, ml.p5.48xlarge, ml.g6e.xlarge, ml.g6e.2xlarge, ml.g6e.4xlarge, ml.g6e.8xlarge, ml.g6e.12xlarge, ml.g6e.12xlarge, ml.g6e.12xlarge, ml.g6e.12xlarge, ml.g6e.4xlarge, ml.g6e.12xlarge, ml.g6e.12xlarge, ml.g6e.12xlarge, ml.g6e.4xlarge, ml.g6e.12xlarge, ml.g6e.12xlarge, ml.g6e.12xlarge 6e.16xlarge, ml.g6e.24xlarge, ml.g6e.48xlarge, ml.p4de.24xlarge | | MARS6 | cambai-mars6 | Da testo ad audio | No | ml.g4dn.2xlarge, ml.g6.2xlarge | | Medical LLM - Medium | john-snow-labs-medical-summarization-qa-8b | Sintesi testuale | No | ml.g5.2xlarge, ml.g4dn.12xlarge | | Medical LLM - Small | john-snow-labs-summarization-qa | Sintesi testuale | No | ml.g5.12xlarge | | Traduzione di testi medici () EN-ES | john-snow-labs-medical-translation-en-es | Traduzione | No | ml.g5.2xlarge | | Mercurio | inception-mercury | Generazione di testo | No | ml.p5.48xlarge | | Mercury Coder | inception-mercury-coder | Generazione di testo | No | ml.p5.48xlarge | | msa-search | nvidia-nim-msa-search-v2-1 | Generazione di testo | No | ml.g6e.12xlarge, ml.g6e.24xlarge, ml.g6e.48xlarge, ml.p4d.24xlarge, ml.p5.48xlarge, ml.p4de.24xlarge, ml.p5en.48xlarge, ml.p5en.48xlarge | | Nemotron nano 9b v2 | nvidia-nemotron-nano-9b-v2 | Generazione di testo | No | ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.16xlarge, ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.g6e.xlarge, ml.g6e.2xlarge, ml.g6e.4xlarge, ml.g6e.8xlarge, ml.g6e.8xlarge, ml.g6xlarge, ml.g6e.8xlarge, ml.g6xlarge, ml.g6e.8xlarge, ml.g6xlarge, ml.g6e.8xlarge, ml.g6xlarge, ml.g6e.8xlarge, ml.g6e.8xlarge, ml.g6xlarge, ml.g6e.8xlarge, ml..16xlarge, ml.g6e.12xlarge, ml.g6e.24xlarge, ml.g6e.48xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p5.4xlarge, ml.p5,48xlarge, ml.p5en.48xlarge, ml.p5en.48xlarge | | nemotron-parse | nvidia-nemotron-parse | Generazione di testo | No | ml.g5.xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.16xlarge, ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.g6e.xlarge, ml.g6e.2xlarge, ml.g6e.4xlarge, ml.g6e.8xlarge, ml.g6e.8xlarge xlarge, ml.g6e.16xlarge, ml.g6e.12xlarge, ml.g6e.24xlarge, ml.g6e.48xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p5.4xlarge, ml.p5,48xlarge, ml.p5en.48xlarge, ml.p5en.48xlarge | | NEXUS di Fundamental | fundamental-technologies-nexus | Classificazione | No | ml.g4dn.8xlarge, ml.p5en.48xlarge | | Nomic Embed Text v1.5 | nomic-embed-text | Incorporamento del testo | No | ml.p3.2xlarge, ml.p3.8xlarge, ml.p3.16xlarge, ml.g4dn.xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g4dn.12xlarge, ml.g4dn.16xlarge, ml.g5.xlarge, ml.g5.2xlarge, ml.g5.2xlarge xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.12xlarge, ml.g5.16xlarge, ml.g5.24xlarge, ml.g5.48xlarge | | Nomic Embed Vision v1.5 | nomic-embed-image | Incorporamento del testo | No | ml.p3.2xlarge, ml.p3.8xlarge, ml.p3.16xlarge, ml.g4dn.xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g4dn.12xlarge, ml.g4dn.16xlarge, ml.g5.xlarge, ml.g5.2xlarge, ml.g5.2xlarge xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.12xlarge, ml.g5.16xlarge, ml.g5.24xlarge, ml.g5.48xlarge | | NVIDIA Cosmos Reason-1-7B | nvidia-nim-cosmos-reason1-7b | Generazione di testo | No | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.g6e.xlarge, ml.g6e.2xlarge, ml.g6e.4xlarge, ml.g6e.8xlarge, ml.g6e.16xlarge, ml.g6e.12xlarge, ml.g6e.24xlarge, ml.g6e.48xlarge, ml.g6e.48xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p5.4xlarge, ml.p5,48xlarge, ml.p5en.48xlarge | | Microservizio NIM NVIDIA Nemotron-4 15B | nvidia-nemotron-4-15b-nim | Generazione di testo | No | ml.g5.12xlarge, ml.g5.24xlarge | | NVIDIA Parakeet VTDT 0.6 GB v2 | nvidia-parakeetvtdt-0-6b-v2 | Generazione di testo Audio2 | No | ml.g6e.2xlarge, ml.g6e.4xlarge, ml.g6e.8xlarge, ml.g6e.12xlarge, ml.g6e.16xlarge, ml.g6e.24xlarge, ml.g6e.48xlarge, ml.g6.2xlarge, ml.g6.4xlarge, ml.g6.8xlarge, ml.g6.12xlarge, ml.g6.12xlarge, ml.g6.12xlarge, ml.g6.12xlarge, ml.g6.12xlarge, ml.g6.12xlarge, ml.g6.12xlarge, ml.g6.12xlarge, ml.g6.12xlarge, ml.g6.12xlarge, ml.g6.12xlarge, ml.g6.12xlarge, ml.g6.12xlarge, ml. g 6,16 x grande, ml. g 6,24 x grande, ml. g 6,48 x grande | | NVIDIA-Parakeet-1-1b-CTC-EN-US-ASR | nvidia-parakeet-1-1b-ctc-en-us-asr | Generazione Audio2Text | No | ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.16xlarge, ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.g6.2xlarge, ml.g6.4xlarge, ml.g6.8xlarge, ml.g6.16xlarge, ml.g6.12xlarge, ml.g6.12xlarge, ml.g6.24xlarge, ml.g6.48xlarge, ml.g6e.2xlarge, ml.g6e.4xlarge, ml.g6e.8xlarge, ml.g6e.16xlarge, ml.g6e.12xlarge, ml.g6e.24xlarge, ml.g6e.48xlarge, ml.p4d.24xlarge, ml.p4de.24 x grande | | Globo | orbital-materials-orb | Modellazione scientifica | No | ml.p3.2xlarge, ml.p3.8xlarge, ml.p3.16xlarge, ml.p4d.24xlarge, ml.g4dn.xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g4dn.12xlarge, ml.g4dn.16xlarge | | PLaMo Distribuzione privata | preferred-networks-plamo-api | Generazione di testo | No | ml.p4d.24xlarge, ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge | | ProteinMPNN-NIM | nvidia-nim-proteinmpnn-v1-0-2 | Generazione di testo | No | ml.g6e.12xlarge, ml.g6e.24xlarge, ml.g6e.48xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p5en.48xlarge, ml.p5en.48xlarge, ml.p5en.48xlarge | | rivalutazione rerank-lite-1 | voyage-rerank-lite-1-reranker | ReRank | No | ml.g5.xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.16xlarge | | Solar Mini - Quant | upstage-solar-mini-chat-quant | Generazione di testo | No | ml.g5.2xlarge | | Solar Pro - Quanto | upstage-solar-pro-quantized | Generazione di testo | No | ml.g5.12xlarge | | Solar Pro 2 | upstage-solar-pro | Generazione di testo | No | ml.p4d.24xlarge, ml.p5,48 xlarge | | Sonic 3 SageMaker | cartesia-sonic-3-sagemaker | Da testo ad audio | No | ml.g6e.xlarge | | Stable Diffusion 3.5 Large | stabilityai-stable-diffusion-3-5-large | Da testo a immagine | No | ml.p5.48xlarge | | Stable Diffusion XL 1.0 | stabilityai-sdxl-1-0 | Da testo a immagine | No | ml.g5.2xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge | | Diffusione stabile XL Beta 0.8 | stabilityai-sdxl-beta-0-8 | Da testo a immagine | No | ml.g5.xlarge | | Stockmark-LLM-13b | stockmark-llm-13b | Generazione di testo | No | ml.g5.2xlarge | | VARCO LLM KO-1.3B-IST | ncsoft-ko-1-3b-ist | Generazione di testo | No | ml. g 5,2 x grande, ml. g 5,4 x grande, ml. g 4 dn.2 x grande | | VARCO LLM KO-6.4B-IST | ncsoft-ko-6-4b-ist | Generazione di testo | No | ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.12xlarge, ml.g4dn.4xlarge, ml.g4dn.8xlarge | | VARCO LLM KO/EN-13B-IST | ncsoft-ko-13b-ist | Generazione di testo | No | ml.g 5,12 x grande, ml.g4 dn.12 x grande | | Modello di incorporamento voyage-2 | voyage-2-embedding | Incorporamento del testo | No | ml.g5.xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.16xlarge | | Modello di incorporamento voyage-3 | voyage-3-embedding | Incorporamento del testo | No | ml.g5.xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.16xlarge, ml.g6.xlarge, ml.g6.2xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.8xlarge, ml.g6.16xlarge | | modello di incorporamento grande voyage-3 | voyage-3-large-embedding | Incorporamento del testo | No | ml.g6.2xlarge, ml.g5.xlarge, ml.g5.8xlarge, ml.g6.4xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g6.8xlarge, ml.g6.xlarge, ml.g6.xlarge | | Modello di incorporamento voyage-3.5 | voyage-3-5-embedding | Incorporamento del testo | No | ml.g5.16xlarge, ml.g6.16xlarge, ml.g6.2xlarge, ml.g5.xlarge, ml.g5.8xlarge, ml.g6.4xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g6.8xlarge, ml.g6.xlarge, ml.g6.xlarge | | Modello di incorporamento voyage-3.5-lite | voyage-3-5-lite-embedding | Incorporamento del testo | No | ml.g6.16xlarge, ml.g6.2xlarge, ml.g5.xlarge, ml.g5.8xlarge, ml.g6.4xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g6.8xlarge, ml.g6.8xlarge, ml.g5.16xlarge, ml.g6.xlarge | | Modello di incorporamento voyage-code-2 | voyage-code-2-embedding | Incorporamento del testo | No | ml.g5.xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.16xlarge, ml.g6.xlarge, ml.g6.2xlarge, ml.g6.4xlarge, ml.g6.8xlarge, ml.g6.8xlarge, ml.g6.16xlarge | | Modello di incorporamento voyage-code-3 | voyage-code-3-embedding | Incorporamento del testo | No | ml.g6.16xlarge, ml.g6.2xlarge, ml.g5.xlarge, ml.g5.8xlarge, ml.g6.4xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g6.8xlarge, ml.g5.16xlarge, ml.g6.xlarge, ml.g6.xlarge | | Modello di incorporamento voyage-large-2 | voyage-large-2-embedding | Incorporamento del testo | No | ml.g5.xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.16xlarge, ml.g6.xlarge, ml.g6.2xlarge, ml.g6.4xlarge, ml.g6.4xlarge, ml.g6.8xlarge, ml.g6.16xlarge | | Widn Tower Anthill | widn-tower-anthill | Traduzione | No | ml.g5.xlarge | | Widn Tower Sugarloaf | widn-tower-sugarloaf | Traduzione | No | ml.g5.12xlarge | | Wind Tower Vesuvio | widn-llama3-tower-vesuvius | Traduzione | No | ml.g5.48xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge | | Motore di visione AI di Woven City | wovenbytoyota-woven-city-ai-vision-engine | Generazione multimodale | No | ml.g5.8xlarge, ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge | | Scrittore Palmyra-Fin-70B-32K | writer-palmyra-fin-70b-32k | Generazione di testo | No | ml.p4d.24xlarge | | Scrittore Palmyra-Med-70B-32K | writer-palmyra-med-70b-32k | Generazione di testo | No | ml.p4d.24xlarge | | Scrittore Palmyra-X-004 | writer-palmyra-x-004 | Generazione di testo | No | ml.p5.48xlarge | ------ #### [ Built-in Algorithms (135) ] Amazon SageMaker JumpStart fornisce modelli pre-addestrati e specifici per attività comuni di visione artificiale come la classificazione delle immagini, il rilevamento di oggetti e la segmentazione delle immagini. Questi modelli sono basati su framework di deep learning consolidati (PyTorch,TensorFlow,MXNet) e sono pronti per essere implementati o ottimizzati in base ai tuoi dati. | Provider | Nome modello | ID modello | Operazione | Licenza | Fine-tunable | Tipi di istanze di inferenza supportati | | --- | --- | --- | --- | --- | --- | --- | | Mxnet | RCNN 101 V1d ResNet più veloce | mxnet-od-faster-rcnn-resnet101-v1d-coco | Rilevamento di oggetti | apache-2.0 | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Mxnet | RCNN 101 V1d ResNet più veloce | mxnet-od-faster-rcnn-fpn-resnet101-v1d-coco | Rilevamento di oggetti | apache-2.0 | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Mxnet | RCNN 50 V1b ResNet più veloce | mxnet-od-faster-rcnn-resnet50-v1b-voc | Rilevamento di oggetti | apache-2.0 | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Mxnet | RCNN 50 V1b ResNet più veloce | mxnet-od-faster-rcnn-resnet50-v1b-coco | Rilevamento di oggetti | apache-2.0 | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Mxnet | RCNN 50 V1b ResNet più veloce | mxnet-od-faster-rcnn-fpn-resnet50-v1b-coco | Rilevamento di oggetti | apache-2.0 | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Mxnet | FCN 101 ADE20K ResNet | mxnet-semseg-fcn-resnet101-ade | Segmentazione dell'immagine | apache-2.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Mxnet | FCN ResNet 101 Pascal VOC | mxnet-semseg-fcn-resnet101-voc | Segmentazione dell'immagine | apache-2.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Mxnet | FCN 50 ADE20K ResNet | mxnet-semseg-fcn-resnet50-ade | Segmentazione dell'immagine | apache-2.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Mxnet | Segmentazione delle istanze | mxnet-is-mask-rcnn-fpn-resnet101-v1d-coco | Segmentazione delle immagini | apache-2.0 | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Mxnet | MASCHERA RCNN FPN RESNET18 COCO | mxnet-is-mask-rcnn-fpn-resnet18-v1b-coco | Segmentazione dell'immagine | apache-2.0 | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Mxnet | MASCHERA RCNN FPN RESNET50 COCO | mxnet-is-mask-rcnn-fpn-resnet50-v1b-coco | Segmentazione dell'immagine | apache-2.0 | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Mxnet | MASCHERA RCNN RESNET18 COCO | mxnet-is-mask-rcnn-resnet18-v1b-coco | Segmentazione dell'immagine | apache-2.0 | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Mxnet | Rilevamento di oggetti | mxnet-od-ssd-512-mobilenet1-0-coco | Rilevamento di oggetti | apache-2.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Mxnet | Segmentazione semantica | mxnet-semseg-fcn-resnet101-coco | Segmentazione delle immagini | apache-2.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Mxnet | SSD 512 50 V1 ResNet | mxnet-od-ssd-512-resnet50-v1-coco | Rilevamento di oggetti | apache-2.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Mxnet | SSD 1.0 MobileNet | mxnet-od-ssd-512-mobilenet1-0-voc | Rilevamento di oggetti | apache-2.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Mxnet | SSD 5.0 V1 ResNet | mxnet-od-ssd-512-resnet50-v1-voc | Rilevamento di oggetti | apache-2.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Mxnet | SSD VGG 16 Atrous 300 | mxnet-od-ssd-300-vgg16-atrous-voc | Rilevamento di oggetti | apache-2.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Mxnet | SSD VGG 16 Atrous 512 | mxnet-od-ssd-512-vgg16-atrous-coco | Rilevamento di oggetti | apache-2.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Mxnet | SSD VGG16 Atrous 300 | mxnet-od-ssd-300-vgg16-atrous-coco | Rilevamento di oggetti | apache-2.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Mxnet | SSD VGG16 Atrous 512 | mxnet-od-ssd-512-vgg16-atrous-voc | Rilevamento di oggetti | apache-2.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Mxnet | YOLO V3 53 DarkNet | mxnet-od-yolo3-darknet53-voc | Rilevamento di oggetti | apache-2.0 | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Mxnet | YOLO V3 53 DarkNet | mxnet-od-yolo3-darknet53-coco | Rilevamento di oggetti | apache-2.0 | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Mxnet | YOLO V3 1.0 MobileNet | mxnet-od-yolo3-mobilenet1-0-voc | Rilevamento di oggetti | apache-2.0 | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Mxnet | YOLO V3 1.0 MobileNet | mxnet-od-yolo3-mobilenet1-0-coco | Rilevamento di oggetti | apache-2.0 | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Pytorch | SqueezeNet 1 | pytorch-ic-squeezenet1-1 | Classificazione delle immagini | clausola bsd-3 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.m4.xlarge, ml.m5.xlarge, ml.m5.xlarge | | Pytorch | AlexNet | pytorch-ic-alexnet | Classificazione delle immagini | clausola bsd-3 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.m4.xlarge, ml.m5.xlarge, ml.m5.xlarge | | Pytorch | DenseNet 121 | pytorch-ic-densenet121 | Classificazione delle immagini | clausola bsd-3 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.m4.xlarge, ml.m5.xlarge, ml.m5.xlarge | | Pytorch | DenseNet 169 | pytorch-ic-densenet169 | Classificazione delle immagini | clausola bsd-3 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.m4.xlarge, ml.m5.xlarge, ml.m5.xlarge | | Pytorch | FRCNN V3 a 320 FPN MobileNet di grandi dimensioni | pytorch-od1-fasterrcnn-mobilenet-v3-large-320-fpn | Rilevamento di oggetti | clausola bsd-3 | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Pytorch | FPN FRCNN V3 di grandi dimensioni MobileNet | pytorch-od1-fasterrcnn-mobilenet-v3-large-fpn | Rilevamento di oggetti | clausola bsd-3 | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Pytorch | GoogLeNet | pytorch-ic-googlenet | Classificazione delle immagini | clausola bsd-3 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.m4.xlarge, ml.m5.xlarge, ml.m5.xlarge | | Pytorch | Classificazione delle immagini | pytorch-ic-mobilenet-v2 | Classificazione delle immagini | clausola bsd-3 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.m4.xlarge, ml.m5.xlarge, ml.m5.xlarge | | Pytorch | Rilevamento di oggetti | pytorch-od1-fasterrcnn-resnet50-fpn | Rilevamento di oggetti | clausola bsd-3 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Pytorch | ResNet 101 | pytorch-ic-resnet101 | Classificazione delle immagini | clausola bsd-3 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.m4.xlarge, ml.m5.xlarge, ml.m5.xlarge | | Pytorch | ResNet 152 | pytorch-ic-resnet152 | Classificazione delle immagini | clausola bsd-3 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.m4.xlarge, ml.m5.xlarge, ml.m5.xlarge | | Pytorch | ResNet 18 | pytorch-ic-resnet18 | Classificazione delle immagini | clausola bsd-3 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.m4.xlarge, ml.m5.xlarge, ml.m5.xlarge | | Pytorch | ResNet 34 | pytorch-ic-resnet34 | Classificazione delle immagini | clausola bsd-3 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.m4.xlarge, ml.m5.xlarge, ml.m5.xlarge | | Pytorch | ResNet 50 | pytorch-ic-resnet50 | Classificazione delle immagini | clausola bsd-3 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.m4.xlarge, ml.m5.xlarge, ml.m5.xlarge | | Pytorch | Resnext 50 | pytorch-ic-resnext50-32x4d | Classificazione delle immagini | clausola bsd-3 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.m4.xlarge, ml.m5.xlarge, ml.m5.xlarge | | Pytorch | ShuffleNet V2 | pytorch-ic-shufflenet-v2-x1-0 | Classificazione delle immagini | clausola bsd-3 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.m4.xlarge, ml.m5.xlarge, ml.m5.xlarge | | Pytorch | SSD | pytorch-od-nvidia-ssd | Rilevamento di oggetti | clausola bsd-3 | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Pytorch | UOVO 1 | pytorch-ic-vgg11 | Classificazione delle immagini | clausola bsd-3 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.m4.xlarge, ml.m5.xlarge, ml.m5.xlarge | | Pytorch | UOVO DA 11 MILIARDI | pytorch-ic-vgg11-bn | Classificazione delle immagini | clausola bsd-3 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.m4.xlarge, ml.m5.xlarge, ml.m5.xlarge | | Pytorch | UOVO DA 13 MILIARDI | pytorch-ic-vgg13-bn | Classificazione delle immagini | clausola bsd-3 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.m4.xlarge, ml.m5.xlarge, ml.m5.xlarge | | Pytorch | UOVO 16 | pytorch-ic-vgg16 | Classificazione delle immagini | clausola bsd-3 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.m4.xlarge, ml.m5.xlarge, ml.m5.xlarge | | Pytorch | UGG DA 16 MILIARDI | pytorch-ic-vgg16-bn | Classificazione delle immagini | clausola bsd-3 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.m4.xlarge, ml.m5.xlarge, ml.m5.xlarge | | Pytorch | UOVO 19 | pytorch-ic-vgg19 | Classificazione delle immagini | clausola bsd-3 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.m4.xlarge, ml.m5.xlarge, ml.m5.xlarge | | Pytorch | VGG-13 | pytorch-ic-vgg13 | Classificazione delle immagini | clausola bsd-3 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.m4.xlarge, ml.m5.xlarge, ml.m5.xlarge | | Pytorch | Ampio 101 ResNet | pytorch-ic-wide-resnet101-2 | Classificazione delle immagini | clausola bsd-3 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.m4.xlarge, ml.m5.xlarge, ml.m5.xlarge | | Tensorflow | ALBERT Base | tensorflow-tc-albert-en-base | Classificazione del testo | apache-2.0 | Sì | ml.c5.18xlarge, ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.9xlarge, ml.g4dn.16xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g4dn.xlarge, ml.g5.xlarge, ml.m5.xlarge, ml.m5.12xlarge, ml.m5.24xlarge, ml.m5.2xlarge, ml.m5.4xlarge, ml.m5.xlarge, ml.p3.16xlarge, ml.p3.2xlarge, ml.p3.8xlarge | | Tensorflow | BERT Base Cased | tensorflow-tc-bert-en-cased-L-12-H-768-A-12-2 | Classificazione del testo | apache-2.0 | Sì | ml.c5.18xlarge, ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.9xlarge, ml.g4dn.16xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g4dn.xlarge, ml.g5.xlarge, ml.m5.xlarge, ml.m5.12xlarge, ml.m5.24xlarge, ml.m5.2xlarge, ml.m5.4xlarge, ml.m5.xlarge, ml.p3.16xlarge, ml.p3.2xlarge, ml.p3.8xlarge | | Tensorflow | Base BERT MEDLINE/PubMed | tensorflow-tc-experts-bert-pubmed-1 | Classificazione del testo | apache-2.0 | Sì | ml.c5.18xlarge, ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.9xlarge, ml.g4dn.16xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g4dn.xlarge, ml.g5.xlarge, ml.m5.xlarge, ml.m5.12xlarge, ml.m5.24xlarge, ml.m5.2xlarge, ml.m5.4xlarge, ml.m5.xlarge, ml.p3.16xlarge, ml.p3.2xlarge, ml.p3.8xlarge | | Tensorflow | BERT Base Multilingual Cased | tensorflow-tc-bert-multi-cased-L-12-H-768-A-12-2 | Classificazione del testo | apache-2.0 | Sì | ml.c5.18xlarge, ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.9xlarge, ml.g4dn.16xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g4dn.xlarge, ml.g5.xlarge, ml.m5.xlarge, ml.m5.12xlarge, ml.m5.24xlarge, ml.m5.2xlarge, ml.m5.4xlarge, ml.m5.xlarge, ml.p3.16xlarge, ml.p3.2xlarge, ml.p3.8xlarge | | Tensorflow | BERT Large Uncased | tensorflow-tc-bert-en-uncased-L-24-H-1024-A-16-2 | Classificazione del testo | apache-2.0 | Sì | ml.c5.18xlarge, ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.9xlarge, ml.g4dn.16xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g4dn.xlarge, ml.g5.xlarge, ml.m5.xlarge, ml.m5.12xlarge, ml.m5.24xlarge, ml.m5.2xlarge, ml.m5.4xlarge, ml.m5.xlarge, ml.p3.16xlarge, ml.p3.2xlarge, ml.p3.8xlarge | | Tensorflow | BERT Small senza custodia L-10 H-128 | tensorflow-tcembedding-bert-en-uncased-L-10-H-128-A-2-2 | Incorporamento del testo | apache-2.0 | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | BERT Small senza custodia L-12 H-256 | tensorflow-tcembedding-bert-en-uncased-L-12-H-256-A-4 | Incorporamento del testo | apache-2.0 | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | BERT Small senza custodia L-12 H-768 | tensorflow-tcembedding-bert-en-uncased-L-12-H-768-A-12-2 | Incorporamento del testo | apache-2.0 | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | BERT Small senza custodia L-4 H-768 | tensorflow-tcembedding-bert-en-uncased-L-4-H-768-A-12-2 | Incorporamento del testo | apache-2.0 | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | BiT-M R101 x1 | tensorflow-ic-bit-m-r101x1-ilsvrc2012-classification-1 | Classificazione delle immagini | Apache-2.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.c6i.large, ml.c6i.xlarge, ml.g4dn.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge, ml.r5.large, ml.r5.xlarge, ml.r5.xlarge | | Tensorflow | BiT-M Vettore di funzionalità R101x1 | tensorflow-icembedding-bit-m-r101x1-ilsvrc2012-featurevector-1 | Classificazione delle immagini | apache-2.0 | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | BiT-M R 50 x 1 ImageNet-21k | tensorflow-ic-bit-m-r50x1-imagenet21k-classification-1 | Classificazione delle immagini | Apache-2.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.c6i.large, ml.c6i.xlarge, ml.g4dn.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3,2xlarge, ml.r5.large, ml.r5.xlarge, ml.r5.xlarge | | Tensorflow | CAiT S 24 224 | tensorflow-ic-cait-s24-224 | Classificazione delle immagini | NEBBIA | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.c6i.large, ml.c6i.xlarge, ml.g4dn.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge, ml.r5.large, ml.r5.xlarge, ml.r5.xlarge | | Tensorflow | CenterNet ResNet-v1-101 | tensorflow-od-centernet-resnet101v1-fpn-512x512-1 | Rilevamento di oggetti | apache-2.0 | No | ml.g4dn.xlarge, ml.g5.xlarge, ml.p3.2xlarge | | Tensorflow | CenterNet ResNet-v1-50 | tensorflow-od-centernet-resnet50v1-fpn-512x512-1 | Rilevamento di oggetti | apache-2.0 | No | ml.g4dn.xlarge, ml.g5.xlarge, ml.p3.2xlarge | | Tensorflow | Modifica Tiny Distilled Patch 16 24 | tensorflow-ic-deit-tiny-distilled-patch16-224 | Classificazione delle immagini | NEBBIA | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.c6i.large, ml.c6i.xlarge, ml.g4dn.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge, ml.r5.large, ml.r5.xlarge, ml.r5.xlarge | | Tensorflow | EfficientNet B0 | tensorflow-ic-efficientnet-b0-classification-1 | Classificazione delle immagini | Apache-2.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.c6i.large, ml.c6i.xlarge, ml.g4dn.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3,2xlarge, ml.r5.large, ml.r5.xlarge, ml.r5.xlarge | | Tensorflow | EfficientNet B1 | tensorflow-ic-efficientnet-b1-classification-1 | Classificazione delle immagini | Apache-2.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.c6i.large, ml.c6i.xlarge, ml.g4dn.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3,2xlarge, ml.r5.large, ml.r5.xlarge, ml.r5.xlarge | | Tensorflow | EfficientNet Vettore di funzionalità B1 | tensorflow-icembedding-efficientnet-b1-featurevector-1 | Classificazione delle immagini | apache-2.0 | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | EfficientNet B3 | tensorflow-ic-efficientnet-b3-classification-1 | Classificazione delle immagini | Apache-2.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.c6i.large, ml.c6i.xlarge, ml.g4dn.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3,2xlarge, ml.r5.large, ml.r5.xlarge, ml.r5.xlarge | | Tensorflow | EfficientNet B7 | tensorflow-ic-efficientnet-b7-classification-1 | Classificazione delle immagini | Apache-2.0 | Sì | ml.c5.9xlarge, ml.g4dn.8xlarge, ml.p3.8xlarge | | Tensorflow | EfficientNet V2 ImageNet-1k Piccolo | tensorflow-ic-efficientnet-v2-imagenet1k-s | Classificazione delle immagini | Apache-2.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.c6i.large, ml.c6i.xlarge, ml.g4dn.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3,2xlarge, ml.r5.large, ml.r5.xlarge, ml.r5.xlarge | | Tensorflow | EfficientNet V2 ImageNet-21k ft 1 k M | tensorflow-ic-efficientnet-v2-imagenet21k-ft1k-m | Classificazione delle immagini | Apache-2.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.c6i.large, ml.c6i.xlarge, ml.g4dn.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge, ml.r5.large, ml.r5.xlarge, ml.r5.xlarge | | Tensorflow | Resnet V2 R-CNN più veloce 1024x1024 | tensorflow-od-faster-rcnn-inception-resnet-v2-1024x1024-1 | Rilevamento di oggetti | apache-2.0 | No | ml.g4dn.xlarge, ml.g5.xlarge, ml.p3.2xlarge | | Tensorflow | Faster V1 R-CNN Resnet-101 640x640 | tensorflow-od-faster-rcnn-resnet101-v1-640x640-1 | Rilevamento di oggetti | apache-2.0 | No | ml.g4dn.xlarge, ml.g5.xlarge, ml.p3.2xlarge | | Tensorflow | Più veloce V1 R-CNN Resnet-50 1024x1024 | tensorflow-od-faster-rcnn-resnet50-v1-1024x1024-1 | Rilevamento di oggetti | apache-2.0 | No | ml.g4dn.xlarge, ml.g5.xlarge, ml.p3.2xlarge | | Tensorflow | Faster V1 R-CNN Resnet-50 640x640 | tensorflow-od-faster-rcnn-resnet50-v1-640x640-1 | Rilevamento di oggetti | apache-2.0 | No | ml.g4dn.xlarge, ml.g5.xlarge, ml.p3.2xlarge | | Tensorflow | Faster V1 R-CNN Resnet-50 800x1333 | tensorflow-od-faster-rcnn-resnet50-v1-800x1333-1 | Rilevamento di oggetti | apache-2.0 | No | ml.g4dn.xlarge, ml.g5.xlarge, ml.p3.2xlarge | | Tensorflow | BALZA | tensorflow-audioembedding-frill-1 | Classificazione audio | apache-2.0 | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | Classificazione delle immagini | tensorflow-ic-swin-base-patch4-window7-224 | Classificazione delle immagini | NEBBIA | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.c6i.large, ml.c6i.xlarge, ml.g4dn.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge, ml.r5.large, ml.r5.xlarge, ml.r5.xlarge | | Tensorflow | Incorporamento di immagini | tensorflow-icembedding-imagenet-mobilenet-v2-100-224-fv-4 | Classificazione delle immagini | apache-2.0 | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | Inception V3 | tensorflow-ic-imagenet-inception-v3-classification-4 | Classificazione delle immagini | Apache-2.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.c6i.large, ml.c6i.xlarge, ml.g4dn.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge, ml.r5.large, ml.r5.xlarge, ml.r5.xlarge | | Tensorflow | Vettore di funzionalità di anteprima di Inception V3 | tensorflow-icembedding-tf2-preview-inception-v3-fv-4 | Classificazione delle immagini | apache-2.0 | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | MobileNet V2 | tensorflow-ic-tf2-preview-mobilenet-v2-classification-4 | Classificazione delle immagini | Apache-2.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.c6i.large, ml.c6i.xlarge, ml.g4dn.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge, ml.r5.large, ml.r5.xlarge, ml.r5.xlarge | | Tensorflow | MobileNet V2 0,35 128 | tensorflow-ic-imagenet-mobilenet-v2-035-128 | Classificazione delle immagini | Apache-2.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.c6i.large, ml.c6i.xlarge, ml.g4dn.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge, ml.r5.large, ml.r5.xlarge, ml.r5.xlarge | | Tensorflow | MobileNet V2 0,50 224 | tensorflow-icembedding-imagenet-mobilenet-v2-050-224-fv-4 | Classificazione delle immagini | apache-2.0 | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | MobileNet V2 1.0 224 | tensorflow-ic-imagenet-mobilenet-v2-100-224-classification-4 | Classificazione delle immagini | Apache-2.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.c6i.large, ml.c6i.xlarge, ml.g4dn.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge, ml.r5.large, ml.r5.xlarge, ml.r5.xlarge | | Tensorflow | MobileNet V2 1.40 224 | tensorflow-ic-imagenet-mobilenet-v2-140-224-classification-4 | Classificazione delle immagini | Apache-2.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.c6i.large, ml.c6i.xlarge, ml.g4dn.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge, ml.r5.large, ml.r5.xlarge, ml.r5.xlarge | | Tensorflow | MobileNet Vettore di funzionalità V2 | tensorflow-icembedding-tf2-preview-mobilenet-v2-fv-4 | Classificazione delle immagini | apache-2.0 | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | MobileNet Vettore di funzionalità V2 | tensorflow-icembedding-tf2-preview-mobilenet-v2-featurevector-4 | Classificazione delle immagini | apache-2.0 | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | MobileNet V3 Large 1.00 224 | tensorflow-ic-imagenet-mobilenet-v3-large-100-224 | Classificazione delle immagini | Apache-2.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.c6i.large, ml.c6i.xlarge, ml.g4dn.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge, ml.r5.large, ml.r5.xlarge, ml.r5.xlarge | | Tensorflow | MobileNet V3 Piccolo 0,75 224 | tensorflow-ic-imagenet-mobilenet-v3-small-075-224 | Classificazione delle immagini | Apache-2.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.c6i.large, ml.c6i.xlarge, ml.g4dn.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge, ml.r5.large, ml.r5.xlarge, ml.r5.xlarge | | Tensorflow | MobileNet V3 Small 1.00 224 | tensorflow-ic-imagenet-mobilenet-v3-small-100-224 | Classificazione delle immagini | Apache-2.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.c6i.large, ml.c6i.xlarge, ml.g4dn.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge, ml.r5.large, ml.r5.xlarge, ml.r5.xlarge | | Tensorflow | Rilevamento di oggetti | tensorflow-od1-ssd-resnet50-v1-fpn-640x640-coco17-tpu-8 | Rilevamento di oggetti | apache-2.0 | Sì | ml.g4dn.xlarge, ml.g5.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | ResNet 50 | tensorflow-ic-resnet-50-classification-1 | Classificazione delle immagini | Apache-2.0 | Sì | ml.c5,9xlarge, ml.g4dn.8xlarge, ml.p3.8xlarge | | Tensorflow | ResNet Vettore di funzionalità 50 | tensorflow-icembedding-resnet-50-featurevector-1 | Classificazione delle immagini | apache-2.0 | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | ResNet V1 50 | tensorflow-ic-imagenet-resnet-v1-50-classification-4 | Classificazione delle immagini | Apache-2.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.c6i.large, ml.c6i.xlarge, ml.g4dn.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3,2xlarge, ml.r5.large, ml.r5.xlarge, ml.r5.xlarge | | Tensorflow | ResNet Vettore di funzionalità V2 152 | tensorflow-icembedding-imagenet-resnet-v2-152-featurevector-4 | Classificazione delle immagini | apache-2.0 | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | ResNet V 2 50 | tensorflow-ic-imagenet-resnet-v2-50-classification-4 | Classificazione delle immagini | Apache-2.0 | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.c6i.large, ml.c6i.xlarge, ml.g4dn.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge, ml.r5.large, ml.r5.xlarge, ml.r5.xlarge | | Tensorflow | ResNet Vettore di funzionalità V2 50 | tensorflow-icembedding-imagenet-resnet-v2-50-featurevector-4 | Classificazione delle immagini | apache-2.0 | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | SSD Resnet-101 Retinanet 640x640 | tensorflow-od-retinanet-resnet101-v1-fpn-640x640-1 | Rilevamento di oggetti | apache-2.0 | No | ml.g4dn.xlarge, ml.g5.xlarge, ml.p3.2xlarge | | Tensorflow | BERT piccolo \_ L-10 \_ H-512 A-8 | tensorflow-tc-small-bert-bert-en-uncased-L-10-H-512-A-8 | Classificazione del testo | apache-2.0 | Sì | ml.c5.18xlarge, ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.9xlarge, ml.g4dn.16xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g4dn.xlarge, ml.g5.xlarge, ml.m5.xlarge, ml.m5.12xlarge, ml.m5.24xlarge, ml.m5.2xlarge, ml.m5.4xlarge, ml.m5.xlarge, ml.p3.16xlarge, ml.p3.2xlarge, ml.p3.8xlarge | | Tensorflow | Bert piccolo L-12 \_ H-256 \_ A-4 | tensorflow-tc-small-bert-bert-en-uncased-L-12-H-256-A-4 | Classificazione del testo | apache-2.0 | Sì | ml.c5.18xlarge, ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.9xlarge, ml.g4dn.16xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g4dn.xlarge, ml.g5.xlarge, ml.m5.xlarge, ml.m5.12xlarge, ml.m5.24xlarge, ml.m5.2xlarge, ml.m5.4xlarge, ml.m5.xlarge, ml.p3.16xlarge, ml.p3.2xlarge, ml.p3.8xlarge | | Tensorflow | Bert piccolo L-12 \_ H-768 \_ A-12 | tensorflow-tc-small-bert-bert-en-uncased-L-12-H-768-A-12 | Classificazione del testo | apache-2.0 | Sì | ml.c5.18xlarge, ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.9xlarge, ml.g4dn.16xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g4dn.xlarge, ml.g5.xlarge, ml.m5.xlarge, ml.m5.12xlarge, ml.m5.24xlarge, ml.m5.2xlarge, ml.m5.4xlarge, ml.m5.xlarge, ml.p3.16xlarge, ml.p3.2xlarge, ml.p3.8xlarge | | Tensorflow | Bert piccolo L-2 \_ H-128 \_ A-2 | tensorflow-tc-small-bert-bert-en-uncased-L-2-H-128-A-2 | Classificazione del testo | apache-2.0 | Sì | ml.c5.18xlarge, ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.9xlarge, ml.g4dn.16xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g4dn.xlarge, ml.g5.xlarge, ml.m5.xlarge, ml.m5.12xlarge, ml.m5.24xlarge, ml.m5.2xlarge, ml.m5.4xlarge, ml.m5.xlarge, ml.p3.16xlarge, ml.p3.2xlarge, ml.p3.8xlarge | | Tensorflow | Bert piccolo L-4 \_ H-512 \_ A-8 | tensorflow-tc-small-bert-bert-en-uncased-L-4-H-512-A-8 | Classificazione del testo | apache-2.0 | Sì | ml.c5.18xlarge, ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.9xlarge, ml.g4dn.16xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g4dn.xlarge, ml.g5.xlarge, ml.m5.xlarge, ml.m5.12xlarge, ml.m5.24xlarge, ml.m5.2xlarge, ml.m5.4xlarge, ml.m5.xlarge, ml.p3.16xlarge, ml.p3.2xlarge, ml.p3.8xlarge | | Tensorflow | Bert piccolo L-6 \_ H-768 \_ A-12 | tensorflow-tc-small-bert-bert-en-uncased-L-6-H-768-A-12 | Classificazione del testo | apache-2.0 | Sì | ml.c5.18xlarge, ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.9xlarge, ml.g4dn.16xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g4dn.xlarge, ml.g5.xlarge, ml.m5.xlarge, ml.m5.12xlarge, ml.m5.24xlarge, ml.m5.2xlarge, ml.m5.4xlarge, ml.m5.xlarge, ml.p3.16xlarge, ml.p3.2xlarge, ml.p3.8xlarge | | Tensorflow | Bert piccolo L-8 \_ H-768 \_ A-12 | tensorflow-tc-small-bert-bert-en-uncased-L-8-H-768-A-12 | Classificazione del testo | apache-2.0 | Sì | ml.c5.18xlarge, ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.9xlarge, ml.g4dn.16xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g4dn.xlarge, ml.g5.xlarge, ml.m5.xlarge, ml.m5.12xlarge, ml.m5.24xlarge, ml.m5.2xlarge, ml.m5.4xlarge, ml.m5.xlarge, ml.p3.16xlarge, ml.p3.2xlarge, ml.p3.8xlarge | | Tensorflow | SSD ResNet 152 V1 FPN 1024x1024 COCO '17 | tensorflow-od1-ssd-resnet152-v1-fpn-1024x1024-coco17-tpu-8 | Rilevamento di oggetti | apache-2.0 | Sì | ml.g4dn.xlarge, ml.g5.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | SSD EfficientDet D0 | tensorflow-od-efficientdet-d0-1 | Rilevamento di oggetti | apache-2.0 | No | ml.g4dn.xlarge, ml.g5.xlarge, ml.p3.2xlarge | | Tensorflow | SSD Efficientset X0 512x512 COCO '17 | tensorflow-od1-ssd-efficientdet-d0-512x512-coco17-tpu-8 | Rilevamento di oggetti | apache-2.0 | Sì | ml.g4dn.xlarge, ml.g5.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | SSD Efficientset E1 640x640 COCO '17 | tensorflow-od1-ssd-efficientdet-d1-640x640-coco17-tpu-8 | Rilevamento di oggetti | apache-2.0 | Sì | ml.g4dn.xlarge, ml.g5.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | SSD EfficientDet D2 | tensorflow-od-efficientdet-d2-1 | Rilevamento di oggetti | apache-2.0 | No | ml.g4dn.xlarge, ml.g5.xlarge, ml.p3.2xlarge | | Tensorflow | SSD Efficientset E2 768x768 COCO '17 | tensorflow-od1-ssd-efficientdet-d2-768x768-coco17-tpu-8 | Rilevamento di oggetti | apache-2.0 | Sì | ml.g4dn.xlarge, ml.g5.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | SSD EfficientDet D3 | tensorflow-od-efficientdet-d3-1 | Rilevamento di oggetti | apache-2.0 | No | ml.g4dn.xlarge, ml.g5.xlarge, ml.p3.2xlarge | | Tensorflow | SSD Efficientset E3 896x896 COCO '17 | tensorflow-od1-ssd-efficientdet-d3-896x896-coco17-tpu-32 | Rilevamento di oggetti | apache-2.0 | Sì | ml.g4dn.xlarge, ml.g5.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | SSD EfficientDet D5 | tensorflow-od-efficientdet-d5-1 | Rilevamento di oggetti | apache-2.0 | No | ml.g4dn.xlarge, ml.g5.xlarge, ml.p3.2xlarge | | Tensorflow | SSD Mobilenet V1 FPN 640x640 COCO '17 | tensorflow-od1-ssd-mobilenet-v1-fpn-640x640-coco17-tpu-8 | Rilevamento di oggetti | apache-2.0 | Sì | ml.g4dn.xlarge, ml.g5.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | SSD Mobilenet V2 | tensorflow-od-ssd-mobilenet-v2-2 | Rilevamento di oggetti | apache-2.0 | No | ml.g4dn.xlarge, ml.g5.xlarge, ml.p3.2xlarge | | Tensorflow | SSD Mobilenet V2 640x640 | tensorflow-od-ssd-mobilenet-v2-fpnlite-640x640-1 | Rilevamento di oggetti | apache-2.0 | No | ml.g4dn.xlarge, ml.g5.xlarge, ml.p3.2xlarge | | Tensorflow | SSD Mobilenet V2 320x320 COCO '17 FPN-Lite | tensorflow-od1-ssd-mobilenet-v2-fpnlite-320x320-coco17-tpu-8 | Rilevamento di oggetti | apache-2.0 | Sì | ml.g4dn.xlarge, ml.g5.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | SSD Mobilenet V2 640x640 COCO FPN-lite '17 | tensorflow-od1-ssd-mobilenet-v2-fpnlite-640x640-coco17-tpu-8 | Rilevamento di oggetti | apache-2.0 | Sì | ml.g4dn.xlarge, ml.g5.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | SSD 101 V1 FPN ResNet 1024x1024 COCO '17 | tensorflow-od1-ssd-resnet101-v1-fpn-1024x1024-coco17-tpu-8 | Rilevamento di oggetti | apache-2.0 | Sì | ml.g4dn.xlarge, ml.g5.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | SSD 101 V1 FPN ResNet 640x640 COCO '17 | tensorflow-od1-ssd-resnet101-v1-fpn-640x640-coco17-tpu-8 | Rilevamento di oggetti | apache-2.0 | Sì | ml.g4dn.xlarge, ml.g5.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | SSD 152 V1 FPN ResNet 640x640 COCO '17 | tensorflow-od1-ssd-resnet152-v1-fpn-640x640-coco17-tpu-8 | Rilevamento di oggetti | apache-2.0 | Sì | ml.g4dn.xlarge, ml.g5.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | SSD 5.0 V1 FPN ResNet 1024x1024 COCO '17 | tensorflow-od1-ssd-resnet50-v1-fpn-1024x1024-coco17-tpu-8 | Rilevamento di oggetti | apache-2.0 | Sì | ml.g4dn.xlarge, ml.g5.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | Swin Base 4 12 384 | tensorflow-ic-swin-base-patch4-window12-384 | Classificazione delle immagini | NEBBIA | Sì | ml.c5.2xlarge, ml.c5.xlarge, ml.c6i.large, ml.c6i.xlarge, ml.g4dn.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge, ml.r5.large, ml.r5.xlarge, ml.r5.xlarge | | Tensorflow | Talking Heads Large | tensorflow-tc-talking-heads-large | Classificazione del testo | apache-2.0 | Sì | ml.c5.18xlarge, ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.9xlarge, ml.g4dn.16xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g4dn.xlarge, ml.g5.xlarge, ml.m5.xlarge, ml.m5.12xlarge, ml.m5.24xlarge, ml.m5.2xlarge, ml.m5.4xlarge, ml.m5.xlarge, ml.p3.16xlarge, ml.p3.2xlarge, ml.p3.8xlarge | | Tensorflow | Classificazione del testo | tensorflow-tc-bert-en-uncased-L-12-H-768-A-12-2 | Classificazione del testo | apache-2.0 | Sì | ml.c5.18xlarge, ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.9xlarge, ml.g4dn.16xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g4dn.xlarge, ml.g5.xlarge, ml.m5.xlarge, ml.m5.12xlarge, ml.m5.24xlarge, ml.m5.2xlarge, ml.m5.4xlarge, ml.m5.xlarge, ml.p3.16xlarge, ml.p3.2xlarge, ml.p3.8xlarge | | Tensorflow | Incorporamento del testo | tensorflow-tcembedding-universal-sentc-encoder-cmlm-en-large-1 | Incorporamento del testo | apache-2.0 | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | Distillato TRILL | tensorflow-audioembedding-trill-distilled-3 | Classificazione audio | apache-2.0 | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | Trillson 1 | tensorflow-audioembedding-trillsson1-1 | Classificazione audio | apache-2.0 | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | Trillson 2 | tensorflow-audioembedding-trillsson2-1 | Classificazione audio | apache-2.0 | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | Trillson 3 | tensorflow-audioembedding-trillsson3-1 | Classificazione audio | apache-2.0 | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | Codificatore di frasi universale CMLM Base | tensorflow-tcembedding-universal-sentc-encoder-cmlm-en-base-1 | Incorporamento del testo | apache-2.0 | No | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | ------ #### [ Classic ML Algorithms (11) ] Amazon SageMaker JumpStart fornisce implementazioni pronte all'uso dei classici algoritmi di machine learning per attività di dati tabulari come classificazione, regressione e previsione di serie temporali. Questi algoritmi (XGBoost,,, LightGBM CatBoostscikit-learn,AutoGluon) sono ottimizzati per i dati strutturati e possono essere addestrati da zero sui tuoi set di dati. | Provider | Nome modello | ID modello | Operazione | Licenza | Fine-tunable | Tipi di istanze di inferenza supportati | | --- | --- | --- | --- | --- | --- | --- | | Autogluon | AutoGluon Classificazione tabulare | autogluon-classification-ensemble | Classificazione tabulare | apache-2.0 | Sì | ml.c5.18xlarge, ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.9xlarge, ml.g4dn.xlarge, ml.m5.12xlarge, ml.m5.24xlarge, ml.m5.2xlarge, ml.m5.4xlarge, ml.p3.2xlarge | | Autogluon | AutoGluon Regressione tabulare | autogluon-regression-ensemble | Regressione tabulare | apache-2.0 | Sì | ml.c5.18xlarge, ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.9xlarge, ml.g4dn.xlarge, ml.m5.12xlarge, ml.m5.24xlarge, ml.m5.2xlarge, ml.m5.4xlarge, ml.p3.2xlarge | | Catboost | CatBoost Classificazione | catboost-classification-model | Classificazione tabulare | apache-2.0 | Sì | ml.c5.18xlarge, ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.9xlarge, ml.m4.16xlarge, ml.m5.12xlarge, ml.m5.24xlarge, ml.m5.2xlarge, ml.m5.4xlarge, ml.m5.4xlarge | | Cat Boost | CatBoost Regressione | catboost-regression-model | Regressione tabulare | apache-2.0 | Sì | ml.c4.8xlarge, ml.c5.18xlarge, ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.9xlarge, ml.m5.12xlarge, ml.m5.24xlarge, ml.m5.2xlarge, ml.m5.4xlarge | | Lightgbm | Classificazione LightGBM | lightgbm-classification-model | Classificazione tabulare | mit | Sì | ml.c5.18xlarge, ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.9xlarge, ml.m4.16xlarge, ml.m5.12xlarge, ml.m5.24xlarge, ml.m5.24xlarge, ml.m5.2xlarge, ml.m5.4xlarge | | Lightgbm | Regressione LightGBM | lightgbm-regression-model | Regressione tabulare | mit | Sì | ml.c4.8xlarge, ml.c5.18xlarge, ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.9xlarge, ml.m5.12xlarge, ml.m5.24xlarge, ml.m5.24xlarge, ml.m5.2xlarge, ml.m5.4xlarge | | Pytorch | TabTransformer Classificazione | pytorch-tabtransformerclassification-model | Classificazione tabulare | apache-2.0 | Sì | ml.c5.18xlarge, ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.9xlarge, ml.g4dn.xlarge, ml.m5.12xlarge, ml.m5.24xlarge, ml.m5.2xlarge, ml.m5.4xlarge, ml.p3.2xlarge | | Pytorch | TabTransformer Regressione | pytorch-tabtransformerregression-model | Regressione tabulare | apache-2.0 | Sì | ml.c5.18xlarge, ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.9xlarge, ml.g4dn.xlarge, ml.m5.12xlarge, ml.m5.24xlarge, ml.m5.2xlarge, ml.m5.4xlarge, ml.p3.2xlarge | | Quindi impara | Classificazione lineare | sklearn-classification-linear | Classificazione tabulare | clausola bsd-3 | Sì | ml.c4.8xlarge, ml.c5.18xlarge, ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.9xlarge, ml.m5.12xlarge, ml.m5.24xlarge, ml.m5.2xlarge, ml.m5.2xlarge, ml.m5.xlarge, ml.m5.xlarge | | Xgboost | Classificazione XgBoost | xgboost-classification-model | Classificazione tabulare | apache-2.0 | Sì | ml.c4.8xlarge, ml.c5.18xlarge, ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.9xlarge, ml.m5.12xlarge, ml.m5.24xlarge, ml.m5.2xlarge, ml.m5.2xlarge, ml.m5.xlarge, ml.m5.xlarge | | Xgboost | Regressione XGBoost | xgboost-regression-model | Regressione tabulare | apache-2.0 | Sì | ml.c4.8xlarge, ml.c5.18xlarge, ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.9xlarge, ml.m5.12xlarge, ml.m5.24xlarge, ml.m5.2xlarge, ml.m5.2xlarge, ml.m5.xlarge, ml.m5.xlarge | ------ **Nota** Per le informazioni sulle licenze più accurate e aggiornate, consultate la pagina dei dettagli del modello in SageMaker Studio o la Hugging Face pagina del modello.