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 o esplora uno dei modelli disponibili. Notebook di esempio 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

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.

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