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cyberagent/calm3-22b-chat
huggingface-llm-calm3-22b-chat
null
null
true
false
null
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model = JumpStartModel(model_id="huggingface-llm-calm3-22b-chat") example_payloads = model.retri...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
dallinmackay/Cats-Musical-diffusion
huggingface-txt2img-dallinmackay-cats-musical-diffusion
null
null
true
false
null
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model = JumpStartModel(model_id="huggingface-txt2img-dallinmackay-cats-musical-diffusion") examp...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
dallinmackay/JWST-Deep-Space-diffusion
huggingface-txt2img-dallinmackay-jwst-deep-space-diffusion
null
null
true
false
null
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model = JumpStartModel(model_id="huggingface-txt2img-dallinmackay-jwst-deep-space-diffusion") ex...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
dallinmackay/Tron-Legacy-diffusion
huggingface-txt2img-dallinmackay-tron-legacy-diffusion
null
null
true
false
null
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model = JumpStartModel(model_id="huggingface-txt2img-dallinmackay-tron-legacy-diffusion") exampl...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
dallinmackay/Van-Gogh-diffusion
huggingface-txt2img-dallinmackay-van-gogh-diffusion
null
null
true
false
null
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model = JumpStartModel(model_id="huggingface-txt2img-dallinmackay-van-gogh-diffusion") example_p...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
deepseek-ai/DeepSeek-OCR
deepseek-vlm-deepseek-ocr
false
false
true
false
false
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model = JumpStartModel(model_id="deepseek-vlm-deepseek-ocr") example_payloads = model.retrieve_a...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
null
null
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=deepseek-ai%2Fdeepseek-ocr&smModelId=deepseek-vlm-deepseek-ocr&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=deepseek-ai%2Fdeepseek-ocr&smModelId=deepseek-vlm-deepseek-ocr&supportServerless=false&supportServerful=false&hasVariants=false&page=customize
null
null
null
null
null
null
null
null
null
deepseek-ai/DeepSeek-R1
deepseek-llm-r1
false
false
true
false
false
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model = JumpStartModel(model_id="deepseek-llm-r1") example_payloads = model.retrieve_all_example...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
null
null
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=deepseek-ai%2Fdeepseek-r1&smModelId=deepseek-llm-r1&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=deepseek-ai%2Fdeepseek-r1&smModelId=deepseek-llm-r1&supportServerless=false&supportServerful=false&hasVariants=false&page=customize
null
null
null
null
null
null
null
null
null
deepseek-ai/DeepSeek-R1-0528
deepseek-llm-r1-0528
false
false
true
false
false
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model = JumpStartModel(model_id="deepseek-llm-r1-0528") example_payloads = model.retrieve_all_ex...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
null
null
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=deepseek-ai%2Fdeepseek-r1-0528&smModelId=deepseek-llm-r1-0528&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=deepseek-ai%2Fdeepseek-r1-0528&smModelId=deepseek-llm-r1-0528&supportServerless=false&supportServerful=false&hasVariants=false&page=customize
null
null
null
null
null
null
null
null
null
deepseek-ai/DeepSeek-R1-Distill-Llama-70B
deepseek-llm-r1-distill-llama-70b
true
false
true
true
false
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model = JumpStartModel(model_id="deepseek-llm-r1-distill-llama-70b") example_payloads = model.re...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
null
null
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=deepseek-ai%2Fdeepseek-r1-distill-llama-70b&smModelId=deepseek-llm-r1-distill-llama-70b&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=deepseek-ai%2Fdeepseek-r1-distill-llama-70b&smModelId=deepseek-llm-r1-distill-llama-70b&supportServerless=true&supportServerful=false&hasVariants=false&page=customize
null
null
null
null
null
null
null
null
null
deepseek-ai/DeepSeek-R1-Distill-Llama-8B
deepseek-llm-r1-distill-llama-8b
true
false
true
true
false
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model = JumpStartModel(model_id="deepseek-llm-r1-distill-llama-8b") example_payloads = model.ret...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
null
null
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=deepseek-ai%2Fdeepseek-r1-distill-llama-8b&smModelId=deepseek-llm-r1-distill-llama-8b&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=deepseek-ai%2Fdeepseek-r1-distill-llama-8b&smModelId=deepseek-llm-r1-distill-llama-8b&supportServerless=true&supportServerful=false&hasVariants=false&page=customize
null
null
null
null
null
null
null
null
null
deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
deepseek-llm-r1-distill-qwen-1-5b
true
false
true
true
false
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model = JumpStartModel(model_id="deepseek-llm-r1-distill-qwen-1-5b") example_payloads = model.re...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
null
null
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=deepseek-ai%2Fdeepseek-r1-distill-qwen-1.5b&smModelId=deepseek-llm-r1-distill-qwen-1-5b&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=deepseek-ai%2Fdeepseek-r1-distill-qwen-1.5b&smModelId=deepseek-llm-r1-distill-qwen-1-5b&supportServerless=true&supportServerful=false&hasVariants=false&page=customize
null
null
null
null
null
null
null
null
null
deepseek-ai/DeepSeek-R1-Distill-Qwen-14B
deepseek-llm-r1-distill-qwen-14b
true
false
true
true
false
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model = JumpStartModel(model_id="deepseek-llm-r1-distill-qwen-14b") example_payloads = model.ret...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
null
null
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=deepseek-ai%2Fdeepseek-r1-distill-qwen-14b&smModelId=deepseek-llm-r1-distill-qwen-14b&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=deepseek-ai%2Fdeepseek-r1-distill-qwen-14b&smModelId=deepseek-llm-r1-distill-qwen-14b&supportServerless=true&supportServerful=false&hasVariants=false&page=customize
null
null
null
null
null
null
null
null
null
deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
deepseek-llm-r1-distill-qwen-32b
true
false
true
true
false
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model = JumpStartModel(model_id="deepseek-llm-r1-distill-qwen-32b") example_payloads = model.ret...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
null
null
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=deepseek-ai%2Fdeepseek-r1-distill-qwen-32b&smModelId=deepseek-llm-r1-distill-qwen-32b&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=deepseek-ai%2Fdeepseek-r1-distill-qwen-32b&smModelId=deepseek-llm-r1-distill-qwen-32b&supportServerless=true&supportServerful=false&hasVariants=false&page=customize
null
null
null
null
null
null
null
null
null
deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
deepseek-llm-r1-distill-qwen-7b
true
false
true
true
false
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model = JumpStartModel(model_id="deepseek-llm-r1-distill-qwen-7b") example_payloads = model.retr...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
null
null
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=deepseek-ai%2Fdeepseek-r1-distill-qwen-7b&smModelId=deepseek-llm-r1-distill-qwen-7b&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=deepseek-ai%2Fdeepseek-r1-distill-qwen-7b&smModelId=deepseek-llm-r1-distill-qwen-7b&supportServerless=true&supportServerful=false&hasVariants=false&page=customize
null
null
null
null
null
null
null
null
null
deepseek-ai/DeepSeek-V3.1
deepseek-llm-deepseek-v3-1
false
false
true
false
false
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model = JumpStartModel(model_id="deepseek-llm-deepseek-v3-1") example_payloads = model.retrieve_...
[{"label": "SageMaker JumpStart Examples", "href": "https://github.com/aws/amazon-sagemaker-examples/tree/main/sagemaker-jumpstart"}]
null
null
null
null
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=deepseek-ai%2Fdeepseek-v3.1&smModelId=deepseek-llm-deepseek-v3-1&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=deepseek-ai%2Fdeepseek-v3.1&smModelId=deepseek-llm-deepseek-v3-1&supportServerless=false&supportServerful=false&hasVariants=false&page=customize
null
null
null
null
null
null
null
null
null
deepseek-ai/DeepSeek-V3.2
deepseek-llm-deepseek-v3-2
false
false
true
false
false
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model = JumpStartModel(model_id="deepseek-llm-deepseek-v3-2") example_payloads = model.retrieve_...
[{"href": "https://aws.amazon.com/sagemaker/jumpstart", "label": "Amazon SageMaker JumpStart"}]
null
null
null
null
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=deepseek-ai%2Fdeepseek-v3.2&smModelId=deepseek-llm-deepseek-v3-2&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=deepseek-ai%2Fdeepseek-v3.2&smModelId=deepseek-llm-deepseek-v3-2&supportServerless=false&supportServerful=false&hasVariants=false&page=customize
null
null
null
null
null
null
null
null
null
digitalepidemiologylab/covid-twitter-bert-v2-mnli
huggingface-zstc-digitalepidemiologylab-covid-twit-bert2-mnli
null
null
true
false
null
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model_id = "huggingface-zstc-digitalepidemiologylab-covid-twit-bert2-mnli" endpoint_input = {'se...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
distilbert/distilbert-base-cased
huggingface-eqa-distilbert-base-cased
false
true
true
true
false
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model = JumpStartModel(model_id="huggingface-eqa-distilbert-base-cased") example_payloads = mode...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. import boto3 from sagemaker.jumpstart import utils from sagemaker.jumpstart.estimator import JumpStartEstimator model_id = "huggingface-eqa-distilber...
[]
# Fine-tune a Hugging Face Hub model using the SageMaker Python SDK v3. # See https://github.com/huggingface/transformers/tree/v4.56.2/examples/pytorch import boto3 from sagemaker.train.model_trainer import ModelTrainer from sagemaker.core.training.configs import Compute, SourceCode from sagemaker.core import image_ur...
[]
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=distilbert%2Fdistilbert-base-cased&smModelId=huggingface-eqa-distilbert-base-cased&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=distilbert%2Fdistilbert-base-cased&smModelId=huggingface-eqa-distilbert-base-cased&supportServerless=false&supportServerful=true&hasVariants=false&page=customize
null
null
null
null
null
null
null
null
null
distilbert/distilbert-base-multilingual-cased
huggingface-eqa-distilbert-base-multilingual-cased
false
true
true
true
false
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model = JumpStartModel(model_id="huggingface-eqa-distilbert-base-multilingual-cased") example_pa...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. import boto3 from sagemaker.jumpstart import utils from sagemaker.jumpstart.estimator import JumpStartEstimator model_id = "huggingface-eqa-distilber...
[]
# Fine-tune a Hugging Face Hub model using the SageMaker Python SDK v3. # See https://github.com/huggingface/transformers/tree/v4.56.2/examples/pytorch import boto3 from sagemaker.train.model_trainer import ModelTrainer from sagemaker.core.training.configs import Compute, SourceCode from sagemaker.core import image_ur...
[]
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=distilbert%2Fdistilbert-base-multilingual-cased&smModelId=huggingface-eqa-distilbert-base-multilingual-cased&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=distilbert%2Fdistilbert-base-multilingual-cased&smModelId=huggingface-eqa-distilbert-base-multilingual-cased&supportServerless=false&supportServerful=true&hasVariants=false&page=customize
null
null
null
null
null
null
null
null
null
distilbert/distilbert-base-uncased
huggingface-eqa-distilbert-base-uncased
false
true
true
true
false
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model = JumpStartModel(model_id="huggingface-eqa-distilbert-base-uncased") example_payloads = mo...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. import boto3 from sagemaker.jumpstart import utils from sagemaker.jumpstart.estimator import JumpStartEstimator model_id = "huggingface-eqa-distilber...
[]
# Fine-tune a Hugging Face Hub model using the SageMaker Python SDK v3. # See https://github.com/huggingface/transformers/tree/v4.56.2/examples/pytorch import boto3 from sagemaker.train.model_trainer import ModelTrainer from sagemaker.core.training.configs import Compute, SourceCode from sagemaker.core import image_ur...
[]
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=distilbert%2Fdistilbert-base-uncased&smModelId=huggingface-eqa-distilbert-base-uncased&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=distilbert%2Fdistilbert-base-uncased&smModelId=huggingface-eqa-distilbert-base-uncased&supportServerless=false&supportServerful=true&hasVariants=false&page=customize
null
null
null
null
null
null
null
null
null
distilbert/distilgpt2
huggingface-textgeneration-distilgpt2
null
null
true
false
null
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model = JumpStartModel(model_id="huggingface-textgeneration-distilgpt2") example_payloads = mode...
[{"href": "https://aws.amazon.com/sagemaker/jumpstart", "label": "Amazon SageMaker JumpStart"}]
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
distilbert/distilroberta-base
huggingface-tc-distilroberta-base
false
true
true
true
false
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model_id = "huggingface-tc-distilroberta-base" endpoint_input = "simply stupid , irrelevant and ...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. import boto3 from sagemaker.jumpstart import utils from sagemaker.jumpstart.estimator import JumpStartEstimator model_id = "huggingface-tc-distilrobe...
[{"label": "Text Classification: Run Fine-tuning in Amazon SageMaker JumpStart", "href": "https://github.com/aws/amazon-sagemaker-examples/blob/main/introduction_to_amazon_algorithms/jumpstart_text_classification/Amazon_JumpStart_HuggingFace_Text_Classification.ipynb"}, {"label": "Question Answering: Run Fine-tuning in...
# Fine-tune a Hugging Face Hub model using the SageMaker Python SDK v3. # See https://github.com/huggingface/transformers/tree/v4.56.2/examples/pytorch import boto3 from sagemaker.train.model_trainer import ModelTrainer from sagemaker.core.training.configs import Compute, SourceCode from sagemaker.core import image_ur...
[]
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=distilbert%2Fdistilroberta-base&smModelId=huggingface-tc-distilroberta-base&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=distilbert%2Fdistilroberta-base&smModelId=huggingface-tc-distilroberta-base&supportServerless=false&supportServerful=true&hasVariants=false&page=customize
null
null
null
null
null
null
null
null
null
dphn/dolphin-2.2.1-mistral-7b
huggingface-llm-dolphin-2-2-1-mistral-7b
false
false
true
false
false
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model = JumpStartModel(model_id="huggingface-llm-dolphin-2-2-1-mistral-7b") example_payloads = m...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
null
null
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=dphn%2Fdolphin-2.2.1-mistral-7b&smModelId=huggingface-llm-dolphin-2-2-1-mistral-7b&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=dphn%2Fdolphin-2.2.1-mistral-7b&smModelId=huggingface-llm-dolphin-2-2-1-mistral-7b&supportServerless=false&supportServerful=false&hasVariants=false&page=customize
null
null
null
null
null
null
null
null
null
dphn/dolphin-2.5-mixtral-8x7b
huggingface-llm-dolphin-2-5-mixtral-8x7b
false
false
true
false
false
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model = JumpStartModel(model_id="huggingface-llm-dolphin-2-5-mixtral-8x7b") example_payloads = m...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
null
null
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=dphn%2Fdolphin-2.5-mixtral-8x7b&smModelId=huggingface-llm-dolphin-2-5-mixtral-8x7b&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=dphn%2Fdolphin-2.5-mixtral-8x7b&smModelId=huggingface-llm-dolphin-2-5-mixtral-8x7b&supportServerless=false&supportServerful=false&hasVariants=false&page=customize
null
null
null
null
null
null
null
null
null
dphn/dolphin-2.7-mixtral-8x7b
huggingface-llm-dolphin-2-7-mixtral-8x7b
false
false
true
false
false
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model = JumpStartModel(model_id="huggingface-llm-dolphin-2-7-mixtral-8x7b") example_payloads = m...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
null
null
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=dphn%2Fdolphin-2.7-mixtral-8x7b&smModelId=huggingface-llm-dolphin-2-7-mixtral-8x7b&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=dphn%2Fdolphin-2.7-mixtral-8x7b&smModelId=huggingface-llm-dolphin-2-7-mixtral-8x7b&supportServerless=false&supportServerful=false&hasVariants=false&page=customize
null
null
null
null
null
null
null
null
null
dphn/dolphin-2.9-llama3-8b
huggingface-llm-cognitive-dolphin-29-llama3-8b
false
false
true
false
false
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model = JumpStartModel(model_id="huggingface-llm-cognitive-dolphin-29-llama3-8b") example_payloa...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
null
null
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=dphn%2Fdolphin-2.9-llama3-8b&smModelId=huggingface-llm-cognitive-dolphin-29-llama3-8b&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=dphn%2Fdolphin-2.9-llama3-8b&smModelId=huggingface-llm-cognitive-dolphin-29-llama3-8b&supportServerless=false&supportServerful=false&hasVariants=false&page=customize
null
null
null
null
null
null
null
null
null
dreamlike-art/dreamlike-diffusion-1.0
huggingface-txt2img-dreamlike-art-dreamlike-diffusion-1-0
null
null
true
false
null
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model = JumpStartModel(model_id="huggingface-txt2img-dreamlike-art-dreamlike-diffusion-1-0") exa...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
eimiss/EimisAnimeDiffusion_1.0v
huggingface-txt2img-eimiss-eimisanimediffusion-1-0v
null
null
true
false
null
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model = JumpStartModel(model_id="huggingface-txt2img-eimiss-eimisanimediffusion-1-0v") example_p...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
elastic/distilbert-base-cased-finetuned-conll03-english
huggingface-ner-distilbert-base-cased-finetuned-conll03-eng
false
null
true
false
null
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model_id = "huggingface-ner-distilbert-base-cased-finetuned-conll03-eng" endpoint_input = "My na...
[{"href": "https://aws.amazon.com/sagemaker/jumpstart", "label": "Amazon SageMaker JumpStart"}]
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null
null
null
null
null
null
null
null
null
null
null
null
null
null
elastic/distilbert-base-uncased-finetuned-conll03-english
huggingface-ner-distilbert-base-uncased-finetuned-conll03-eng
false
null
true
false
null
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model_id = "huggingface-ner-distilbert-base-uncased-finetuned-conll03-eng" endpoint_input = "My ...
[{"href": "https://aws.amazon.com/sagemaker/jumpstart", "label": "Amazon SageMaker JumpStart"}]
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
eleldar/theme-classification
huggingface-zstc-eleldar-theme-classification
null
null
true
false
null
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model_id = "huggingface-zstc-eleldar-theme-classification" endpoint_input = {'sequences': 'one d...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
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null
null
null
null
null
null
null
null
null
null
null
null
null
null
elyza/ELYZA-japanese-Llama-2-13b-instruct
huggingface-llm-elyza-japanese-llama-2-13b-chat
false
true
true
true
false
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model = JumpStartModel(model_id="huggingface-llm-elyza-japanese-llama-2-13b-chat") example_paylo...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
# Fine-tune a gated Hugging Face Hub model using the SageMaker Python SDK v3. # This model requires a Hugging Face token to download weights. # See https://github.com/huggingface/transformers/tree/v4.56.2/examples/pytorch import boto3 from sagemaker.train.model_trainer import ModelTrainer from sagemaker.core.training....
[]
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=elyza%2Felyza-japanese-llama-2-13b-instruct&smModelId=huggingface-llm-elyza-japanese-llama-2-13b-chat&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=elyza%2Felyza-japanese-llama-2-13b-instruct&smModelId=huggingface-llm-elyza-japanese-llama-2-13b-chat&supportServerless=false&supportServerful=true&hasVariants=false&page=customize
null
null
null
null
null
null
null
null
null
elyza/ELYZA-japanese-Llama-2-7b-instruct
huggingface-llm-elyza-japanese-llama-2-7b-chat-bf16
false
true
true
true
false
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model = JumpStartModel(model_id="huggingface-llm-elyza-japanese-llama-2-7b-chat-bf16") example_p...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
# Fine-tune a gated Hugging Face Hub model using the SageMaker Python SDK v3. # This model requires a Hugging Face token to download weights. # See https://github.com/huggingface/transformers/tree/v4.56.2/examples/pytorch import boto3 from sagemaker.train.model_trainer import ModelTrainer from sagemaker.core.training....
[]
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=elyza%2Felyza-japanese-llama-2-7b-instruct&smModelId=huggingface-llm-elyza-japanese-llama-2-7b-chat-bf16&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=elyza%2Felyza-japanese-llama-2-7b-instruct&smModelId=huggingface-llm-elyza-japanese-llama-2-7b-chat-bf16&supportServerless=false&supportServerful=true&hasVariants=false&page=customize
null
null
null
null
null
null
null
null
null
emrecan/bert-base-multilingual-cased-allnli_tr
huggingface-zstc-emrecan-bertbase-mling-cased-allnli-tr
null
null
true
false
null
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model_id = "huggingface-zstc-emrecan-bertbase-mling-cased-allnli-tr" endpoint_input = {'sequence...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
emrecan/bert-base-multilingual-cased-multinli_tr
huggingface-zstc-emrecan-bertbase-mling-cased-multinli-tr
null
null
true
false
null
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model_id = "huggingface-zstc-emrecan-bertbase-mling-cased-multinli-tr" endpoint_input = {'sequen...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
emrecan/bert-base-multilingual-cased-snli_tr
huggingface-zstc-emrecan-bert-base-multilingual-cased-snli-tr
null
null
true
false
null
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model_id = "huggingface-zstc-emrecan-bert-base-multilingual-cased-snli-tr" endpoint_input = {'se...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
emrecan/bert-base-turkish-cased-allnli_tr
huggingface-zstc-emrecan-bert-base-turkish-cased-allnli-tr
false
false
true
false
false
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model_id = "huggingface-zstc-emrecan-bert-base-turkish-cased-allnli-tr" endpoint_input = {'seque...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
null
null
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=emrecan%2Fbert-base-turkish-cased-allnli_tr&smModelId=huggingface-zstc-emrecan-bert-base-turkish-cased-allnli-tr&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=emrecan%2Fbert-base-turkish-cased-allnli_tr&smModelId=huggingface-zstc-emrecan-bert-base-turkish-cased-allnli-tr&supportServerless=false&supportServerful=false&hasVariants=false&page=customize
null
null
null
null
null
null
null
null
null
emrecan/bert-base-turkish-cased-multinli_tr
huggingface-zstc-emrecan-bert-base-turkish-cased-multinli-tr
null
null
true
false
null
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model_id = "huggingface-zstc-emrecan-bert-base-turkish-cased-multinli-tr" endpoint_input = {'seq...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
emrecan/bert-base-turkish-cased-snli_tr
huggingface-zstc-emrecan-bert-base-turkish-cased-snli-tr
null
null
true
false
null
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model_id = "huggingface-zstc-emrecan-bert-base-turkish-cased-snli-tr" endpoint_input = {'sequenc...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
emrecan/convbert-base-turkish-mc4-cased-allnli_tr
huggingface-zstc-emrecan-cbertbase-turkishmc4-cased-allnlitr
null
null
true
false
null
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model_id = "huggingface-zstc-emrecan-cbertbase-turkishmc4-cased-allnlitr" endpoint_input = {'seq...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
emrecan/convbert-base-turkish-mc4-cased-multinli_tr
huggingface-zstc-emrecan-cbertbase-turkish-mc4cased-multinlitr
null
null
true
false
null
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model_id = "huggingface-zstc-emrecan-cbertbase-turkish-mc4cased-multinlitr" endpoint_input = {'s...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
emrecan/convbert-base-turkish-mc4-cased-snli_tr
huggingface-zstc-emrecan-cbertbase-turkish-mc4cased-snlitr
null
null
true
false
null
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model_id = "huggingface-zstc-emrecan-cbertbase-turkish-mc4cased-snlitr" endpoint_input = {'seque...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
emrecan/distilbert-base-turkish-cased-allnli_tr
huggingface-zstc-emrecan-dbase-turkish-cased-allnlitr
null
null
true
false
null
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model_id = "huggingface-zstc-emrecan-dbase-turkish-cased-allnlitr" endpoint_input = {'sequences'...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
emrecan/distilbert-base-turkish-cased-multinli_tr
huggingface-zstc-emrecan-dbertbase-turkish-cased-multinli-tr
null
null
true
false
null
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model_id = "huggingface-zstc-emrecan-dbertbase-turkish-cased-multinli-tr" endpoint_input = {'seq...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
emrecan/distilbert-base-turkish-cased-snli_tr
huggingface-zstc-emrecan-distilbert-base-turkish-cased-snli-tr
null
null
true
false
null
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model_id = "huggingface-zstc-emrecan-distilbert-base-turkish-cased-snli-tr" endpoint_input = {'s...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
facebook/bart-large-mnli
huggingface-zstc-facebook-bart-large-mnli
false
false
true
false
false
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model_id = "huggingface-zstc-facebook-bart-large-mnli" endpoint_input = {'sequences': 'one day I...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
null
null
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=facebook%2Fbart-large-mnli&smModelId=huggingface-zstc-facebook-bart-large-mnli&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=facebook%2Fbart-large-mnli&smModelId=huggingface-zstc-facebook-bart-large-mnli&supportServerless=false&supportServerful=false&hasVariants=false&page=customize
null
null
null
null
null
null
null
null
null
fffiloni/mr-men-and-little-misses
huggingface-txt2img-fffiloni-mr-men-and-little-misses
null
null
true
false
null
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model = JumpStartModel(model_id="huggingface-txt2img-fffiloni-mr-men-and-little-misses") example...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
garage-bAInd/Platypus2-7B
huggingface-llm-garage-baind-platypus2-7b
null
null
true
false
null
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model = JumpStartModel(model_id="huggingface-llm-garage-baind-platypus2-7b") example_payloads = ...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
google-bert/bert-base-cased
huggingface-eqa-bert-base-cased
false
true
true
true
false
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model = JumpStartModel(model_id="huggingface-eqa-bert-base-cased") example_payloads = model.retr...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. import boto3 from sagemaker.jumpstart import utils from sagemaker.jumpstart.estimator import JumpStartEstimator model_id = "huggingface-eqa-bert-base...
[]
# Fine-tune a Hugging Face Hub model using the SageMaker Python SDK v3. # See https://github.com/huggingface/transformers/tree/v4.56.2/examples/pytorch import boto3 from sagemaker.train.model_trainer import ModelTrainer from sagemaker.core.training.configs import Compute, SourceCode from sagemaker.core import image_ur...
[]
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google-bert%2Fbert-base-cased&smModelId=huggingface-eqa-bert-base-cased&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google-bert%2Fbert-base-cased&smModelId=huggingface-eqa-bert-base-cased&supportServerless=false&supportServerful=true&hasVariants=false&page=customize
null
null
null
null
null
null
null
null
null
google-bert/bert-base-multilingual-cased
huggingface-eqa-bert-base-multilingual-cased
false
true
true
true
false
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model = JumpStartModel(model_id="huggingface-eqa-bert-base-multilingual-cased") example_payloads...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. import boto3 from sagemaker.jumpstart import utils from sagemaker.jumpstart.estimator import JumpStartEstimator model_id = "huggingface-eqa-bert-base...
[]
# Fine-tune a Hugging Face Hub model using the SageMaker Python SDK v3. # See https://github.com/huggingface/transformers/tree/v4.56.2/examples/pytorch import boto3 from sagemaker.train.model_trainer import ModelTrainer from sagemaker.core.training.configs import Compute, SourceCode from sagemaker.core import image_ur...
[]
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google-bert%2Fbert-base-multilingual-cased&smModelId=huggingface-eqa-bert-base-multilingual-cased&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google-bert%2Fbert-base-multilingual-cased&smModelId=huggingface-eqa-bert-base-multilingual-cased&supportServerless=false&supportServerful=true&hasVariants=false&page=customize
null
null
null
null
null
null
null
null
null
google-bert/bert-base-multilingual-uncased
huggingface-eqa-bert-base-multilingual-uncased
false
true
true
true
false
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model = JumpStartModel(model_id="huggingface-eqa-bert-base-multilingual-uncased") example_payloa...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. import boto3 from sagemaker.jumpstart import utils from sagemaker.jumpstart.estimator import JumpStartEstimator model_id = "huggingface-eqa-bert-base...
[]
# Fine-tune a Hugging Face Hub model using the SageMaker Python SDK v3. # See https://github.com/huggingface/transformers/tree/v4.56.2/examples/pytorch import boto3 from sagemaker.train.model_trainer import ModelTrainer from sagemaker.core.training.configs import Compute, SourceCode from sagemaker.core import image_ur...
[{"href": "https://github.com/aws/amazon-sagemaker-examples/blob/main/introduction_to_amazon_algorithms/jumpstart_text_classification/Amazon_JumpStart_HuggingFace_Text_Classification.ipynb", "label": "Text Classification: Run Fine-tuning in Amazon SageMaker JumpStart"}, {"href": "https://github.com/aws/amazon-sagemaker...
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google-bert%2Fbert-base-multilingual-uncased&smModelId=huggingface-eqa-bert-base-multilingual-uncased&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google-bert%2Fbert-base-multilingual-uncased&smModelId=huggingface-eqa-bert-base-multilingual-uncased&supportServerless=false&supportServerful=true&hasVariants=false&page=customize
null
null
null
null
null
null
null
null
null
google-bert/bert-base-uncased
huggingface-eqa-bert-base-uncased
false
true
true
true
false
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model = JumpStartModel(model_id="huggingface-eqa-bert-base-uncased") example_payloads = model.re...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. import boto3 from sagemaker.jumpstart import utils from sagemaker.jumpstart.estimator import JumpStartEstimator model_id = "huggingface-eqa-bert-base...
[]
# Fine-tune a Hugging Face Hub model using the SageMaker Python SDK v3. # See https://github.com/huggingface/transformers/tree/v4.56.2/examples/pytorch import boto3 from sagemaker.train.model_trainer import ModelTrainer from sagemaker.core.training.configs import Compute, SourceCode from sagemaker.core import image_ur...
[]
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google-bert%2Fbert-base-uncased&smModelId=huggingface-eqa-bert-base-uncased&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google-bert%2Fbert-base-uncased&smModelId=huggingface-eqa-bert-base-uncased&supportServerless=false&supportServerful=true&hasVariants=false&page=customize
null
null
null
null
null
null
null
null
null
google-bert/bert-large-cased
huggingface-eqa-bert-large-cased
false
true
true
true
false
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model = JumpStartModel(model_id="huggingface-eqa-bert-large-cased") example_payloads = model.ret...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. import boto3 from sagemaker.jumpstart import utils from sagemaker.jumpstart.estimator import JumpStartEstimator model_id = "huggingface-eqa-bert-larg...
[]
# Fine-tune a Hugging Face Hub model using the SageMaker Python SDK v3. # See https://github.com/huggingface/transformers/tree/v4.56.2/examples/pytorch import boto3 from sagemaker.train.model_trainer import ModelTrainer from sagemaker.core.training.configs import Compute, SourceCode from sagemaker.core import image_ur...
[]
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google-bert%2Fbert-large-cased&smModelId=huggingface-eqa-bert-large-cased&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google-bert%2Fbert-large-cased&smModelId=huggingface-eqa-bert-large-cased&supportServerless=false&supportServerful=true&hasVariants=false&page=customize
null
null
null
null
null
null
null
null
null
google-bert/bert-large-cased-whole-word-masking
huggingface-eqa-bert-large-cased-whole-word-masking
false
true
true
true
false
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model = JumpStartModel(model_id="huggingface-eqa-bert-large-cased-whole-word-masking") example_p...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. import boto3 from sagemaker.jumpstart import utils from sagemaker.jumpstart.estimator import JumpStartEstimator model_id = "huggingface-eqa-bert-larg...
[]
null
null
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google-bert%2Fbert-large-cased-whole-word-masking&smModelId=huggingface-eqa-bert-large-cased-whole-word-masking&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google-bert%2Fbert-large-cased-whole-word-masking&smModelId=huggingface-eqa-bert-large-cased-whole-word-masking&supportServerless=false&supportServerful=true&hasVariants=false&page=customize
null
null
null
null
null
null
null
null
null
google-bert/bert-large-uncased
huggingface-tc-bert-large-uncased
false
true
true
true
false
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model = JumpStartModel(model_id="huggingface-eqa-bert-large-uncased") example_payloads = model.r...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. import boto3 from sagemaker.jumpstart import utils from sagemaker.jumpstart.estimator import JumpStartEstimator model_id = "huggingface-eqa-bert-larg...
[]
null
null
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google-bert%2Fbert-large-uncased&smModelId=huggingface-tc-bert-large-uncased&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google-bert%2Fbert-large-uncased&smModelId=huggingface-tc-bert-large-uncased&supportServerless=false&supportServerful=true&hasVariants=false&page=customize
null
null
null
null
null
null
null
null
null
google-bert/bert-large-uncased-whole-word-masking
huggingface-eqa-bert-large-uncased-whole-word-masking
null
null
true
false
null
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model = JumpStartModel(model_id="huggingface-eqa-bert-large-uncased-whole-word-masking") example...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. import boto3 from sagemaker.jumpstart import utils from sagemaker.jumpstart.estimator import JumpStartEstimator model_id = "huggingface-eqa-bert-larg...
[]
null
null
null
null
null
null
null
null
null
null
null
null
null
google-t5/t5-base
huggingface-translation-t5-base
false
false
true
false
false
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model_id = "huggingface-translation-t5-base" endpoint_input = "My name is Wolfgang and I live in...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
null
null
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google-t5%2Ft5-base&smModelId=huggingface-translation-t5-base&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google-t5%2Ft5-base&smModelId=huggingface-translation-t5-base&supportServerless=false&supportServerful=false&hasVariants=false&page=customize
null
null
null
null
null
null
null
null
null
google-t5/t5-large
huggingface-translation-t5-large
false
false
true
false
false
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model_id = "huggingface-translation-t5-large" endpoint_input = "My name is Wolfgang and I live i...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
null
null
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google-t5%2Ft5-large&smModelId=huggingface-translation-t5-large&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google-t5%2Ft5-large&smModelId=huggingface-translation-t5-large&supportServerless=false&supportServerful=false&hasVariants=false&page=customize
null
null
null
null
null
null
null
null
null
google-t5/t5-small
huggingface-translation-t5-small
false
false
true
false
false
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model_id = "huggingface-translation-t5-small" endpoint_input = "My name is Wolfgang and I live i...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
null
null
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google-t5%2Ft5-small&smModelId=huggingface-translation-t5-small&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google-t5%2Ft5-small&smModelId=huggingface-translation-t5-small&supportServerless=false&supportServerful=false&hasVariants=false&page=customize
null
null
null
null
null
null
null
null
null
google/bigbird-pegasus-large-arxiv
huggingface-summarization-bigbird-pegasus-large-arxiv
false
false
true
false
false
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model_id = "huggingface-summarization-bigbird-pegasus-large-arxiv" endpoint_input = "The tower i...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
null
null
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google%2Fbigbird-pegasus-large-arxiv&smModelId=huggingface-summarization-bigbird-pegasus-large-arxiv&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google%2Fbigbird-pegasus-large-arxiv&smModelId=huggingface-summarization-bigbird-pegasus-large-arxiv&supportServerless=false&supportServerful=false&hasVariants=false&page=customize
null
null
null
null
null
null
null
null
null
google/bigbird-pegasus-large-pubmed
huggingface-summarization-bigbird-pegasus-large-pubmed
false
false
true
false
false
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model_id = "huggingface-summarization-bigbird-pegasus-large-pubmed" endpoint_input = "The tower ...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
null
null
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google%2Fbigbird-pegasus-large-pubmed&smModelId=huggingface-summarization-bigbird-pegasus-large-pubmed&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google%2Fbigbird-pegasus-large-pubmed&smModelId=huggingface-summarization-bigbird-pegasus-large-pubmed&supportServerless=false&supportServerful=false&hasVariants=false&page=customize
null
null
null
null
null
null
null
null
null
google/flan-t5-base
huggingface-text2text-flan-t5-base
false
true
true
true
false
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model = JumpStartModel(model_id="huggingface-text2text-flan-t5-base") example_payloads = model.r...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. import boto3 from sagemaker.jumpstart import utils from sagemaker.jumpstart.estimator import JumpStartEstimator model_id = "huggingface-text2text-fla...
[{"label": "Large Language Model (LLM): Run Instruction-tuning in Amazon SageMaker JumpStart", "href": "https://github.com/aws/amazon-sagemaker-examples/blob/main/introduction_to_amazon_algorithms/jumpstart-foundation-models/instruction-fine-tuning-flan-t5.ipynb"}, {"label": "Amazon SageMaker JumpStart", "href": "https...
# Fine-tune a Hugging Face Hub model using the SageMaker Python SDK v3. # See https://github.com/huggingface/transformers/tree/v4.56.2/examples/pytorch import boto3 from sagemaker.train.model_trainer import ModelTrainer from sagemaker.core.training.configs import Compute, SourceCode from sagemaker.core import image_ur...
[{"href": "https://github.com/aws/amazon-sagemaker-examples/blob/main/introduction_to_amazon_algorithms/jumpstart-foundation-models/instruction-fine-tuning-flan-t5.ipynb", "label": "Large Language Model (LLM): Run Instruction-tuning in Amazon SageMaker JumpStart"}, {"href": "https://aws.amazon.com/sagemaker/jumpstart",...
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google%2Fflan-t5-base&smModelId=huggingface-text2text-flan-t5-base&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google%2Fflan-t5-base&smModelId=huggingface-text2text-flan-t5-base&supportServerless=false&supportServerful=true&hasVariants=false&page=customize
null
null
null
null
null
null
null
null
null
google/flan-t5-large
huggingface-text2text-flan-t5-large
false
true
true
true
false
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model = JumpStartModel(model_id="huggingface-text2text-flan-t5-large") example_payloads = model....
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. import boto3 from sagemaker.jumpstart import utils from sagemaker.jumpstart.estimator import JumpStartEstimator model_id = "huggingface-text2text-fla...
[{"label": "Large Language Model (LLM): Run Instruction-tuning in Amazon SageMaker JumpStart", "href": "https://github.com/aws/amazon-sagemaker-examples/blob/main/introduction_to_amazon_algorithms/jumpstart-foundation-models/instruction-fine-tuning-flan-t5.ipynb"}, {"label": "Amazon SageMaker JumpStart", "href": "https...
# Fine-tune a Hugging Face Hub model using the SageMaker Python SDK v3. # See https://github.com/huggingface/transformers/tree/v4.56.2/examples/pytorch import boto3 from sagemaker.train.model_trainer import ModelTrainer from sagemaker.core.training.configs import Compute, SourceCode from sagemaker.core import image_ur...
[{"href": "https://github.com/aws/amazon-sagemaker-examples/blob/main/introduction_to_amazon_algorithms/jumpstart-foundation-models/instruction-fine-tuning-flan-t5.ipynb", "label": "Large Language Model (LLM): Run Instruction-tuning in Amazon SageMaker JumpStart"}, {"href": "https://aws.amazon.com/sagemaker/jumpstart",...
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google%2Fflan-t5-large&smModelId=huggingface-text2text-flan-t5-large&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google%2Fflan-t5-large&smModelId=huggingface-text2text-flan-t5-large&supportServerless=false&supportServerful=true&hasVariants=false&page=customize
null
null
null
null
null
null
null
null
null
google/flan-t5-small
huggingface-text2text-flan-t5-small
false
true
true
true
false
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model = JumpStartModel(model_id="huggingface-text2text-flan-t5-small") example_payloads = model....
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. import boto3 from sagemaker.jumpstart import utils from sagemaker.jumpstart.estimator import JumpStartEstimator model_id = "huggingface-text2text-fla...
[{"label": "Large Language Model (LLM): Run Instruction-tuning in Amazon SageMaker JumpStart", "href": "https://github.com/aws/amazon-sagemaker-examples/blob/main/introduction_to_amazon_algorithms/jumpstart-foundation-models/instruction-fine-tuning-flan-t5.ipynb"}, {"label": "Amazon SageMaker JumpStart", "href": "https...
# Fine-tune a Hugging Face Hub model using the SageMaker Python SDK v3. # See https://github.com/huggingface/transformers/tree/v4.56.2/examples/pytorch import boto3 from sagemaker.train.model_trainer import ModelTrainer from sagemaker.core.training.configs import Compute, SourceCode from sagemaker.core import image_ur...
[{"href": "https://github.com/aws/amazon-sagemaker-examples/blob/main/introduction_to_amazon_algorithms/jumpstart-foundation-models/instruction-fine-tuning-flan-t5.ipynb", "label": "Large Language Model (LLM): Run Instruction-tuning in Amazon SageMaker JumpStart"}, {"href": "https://aws.amazon.com/sagemaker/jumpstart",...
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google%2Fflan-t5-small&smModelId=huggingface-text2text-flan-t5-small&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google%2Fflan-t5-small&smModelId=huggingface-text2text-flan-t5-small&supportServerless=false&supportServerful=true&hasVariants=false&page=customize
null
null
null
null
null
null
null
null
null
google/flan-t5-xl
huggingface-text2text-flan-t5-xl
false
true
true
true
false
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model = JumpStartModel(model_id="huggingface-text2text-flan-t5-xl") example_payloads = model.ret...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. import boto3 from sagemaker.jumpstart import utils from sagemaker.jumpstart.estimator import JumpStartEstimator model_id = "huggingface-text2text-fla...
[{"label": "Large Language Model (LLM): Run Instruction-tuning in Amazon SageMaker JumpStart", "href": "https://github.com/aws/amazon-sagemaker-examples/blob/main/introduction_to_amazon_algorithms/jumpstart-foundation-models/instruction-fine-tuning-flan-t5.ipynb"}, {"label": "Amazon SageMaker JumpStart", "href": "https...
# Fine-tune a Hugging Face Hub model using the SageMaker Python SDK v3. # See https://github.com/huggingface/transformers/tree/v4.56.2/examples/pytorch import boto3 from sagemaker.train.model_trainer import ModelTrainer from sagemaker.core.training.configs import Compute, SourceCode from sagemaker.core import image_ur...
[{"href": "https://github.com/aws/amazon-sagemaker-examples/blob/main/introduction_to_amazon_algorithms/jumpstart-foundation-models/instruction-fine-tuning-flan-t5.ipynb", "label": "Large Language Model (LLM): Run Instruction-tuning in Amazon SageMaker JumpStart"}, {"href": "https://aws.amazon.com/sagemaker/jumpstart",...
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google%2Fflan-t5-xl&smModelId=huggingface-text2text-flan-t5-xl&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google%2Fflan-t5-xl&smModelId=huggingface-text2text-flan-t5-xl&supportServerless=false&supportServerful=true&hasVariants=false&page=customize
null
null
null
null
null
null
null
null
null
google/flan-t5-xxl
huggingface-text2text-flan-t5-xxl
false
true
true
true
false
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model = JumpStartModel(model_id="huggingface-text2text-flan-t5-xxl") example_payloads = model.re...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. import boto3 from sagemaker.jumpstart import utils from sagemaker.jumpstart.estimator import JumpStartEstimator model_id = "huggingface-text2text-fla...
[{"label": "Large Language Model (LLM): Run Instruction-tuning in Amazon SageMaker JumpStart", "href": "https://github.com/aws/amazon-sagemaker-examples/blob/main/introduction_to_amazon_algorithms/jumpstart-foundation-models/instruction-fine-tuning-flan-t5.ipynb"}, {"label": "Amazon SageMaker JumpStart", "href": "https...
# Fine-tune a Hugging Face Hub model using the SageMaker Python SDK v3. # See https://github.com/huggingface/transformers/tree/v4.56.2/examples/pytorch import boto3 from sagemaker.train.model_trainer import ModelTrainer from sagemaker.core.training.configs import Compute, SourceCode from sagemaker.core import image_ur...
[{"href": "https://github.com/aws/amazon-sagemaker-examples/blob/main/introduction_to_amazon_algorithms/jumpstart-foundation-models/instruction-fine-tuning-flan-t5.ipynb", "label": "Large Language Model (LLM): Run Instruction-tuning in Amazon SageMaker JumpStart"}, {"href": "https://aws.amazon.com/sagemaker/jumpstart",...
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google%2Fflan-t5-xxl&smModelId=huggingface-text2text-flan-t5-xxl&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google%2Fflan-t5-xxl&smModelId=huggingface-text2text-flan-t5-xxl&supportServerless=false&supportServerful=true&hasVariants=false&page=customize
null
null
null
null
null
null
null
null
null
google/flan-ul2
huggingface-text2text-flan-ul2-bf16
null
null
true
false
null
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model = JumpStartModel(model_id="huggingface-text2text-flan-ul2-bf16") example_payloads = model....
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
google/gemma-2-27b
huggingface-llm-gemma-2-27b
false
false
true
false
false
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model = JumpStartModel(model_id="huggingface-llm-gemma-2-27b") example_payloads = model.retrieve...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
null
null
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google%2Fgemma-2-27b&smModelId=huggingface-llm-gemma-2-27b&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google%2Fgemma-2-27b&smModelId=huggingface-llm-gemma-2-27b&supportServerless=false&supportServerful=false&hasVariants=false&page=customize
null
null
null
null
null
null
null
null
null
google/gemma-2-27b-it
huggingface-llm-gemma-2-27b-instruct
false
false
true
false
false
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model = JumpStartModel(model_id="huggingface-llm-gemma-2-27b-instruct") example_payloads = model...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
null
null
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google%2Fgemma-2-27b-it&smModelId=huggingface-llm-gemma-2-27b-instruct&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google%2Fgemma-2-27b-it&smModelId=huggingface-llm-gemma-2-27b-instruct&supportServerless=false&supportServerful=false&hasVariants=false&page=customize
null
null
null
null
null
null
null
null
null
google/gemma-2-2b
huggingface-llm-gemma-2-2b
false
false
true
false
false
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model = JumpStartModel(model_id="huggingface-llm-gemma-2-2b") example_payloads = model.retrieve_...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
null
null
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google%2Fgemma-2-2b&smModelId=huggingface-llm-gemma-2-2b&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google%2Fgemma-2-2b&smModelId=huggingface-llm-gemma-2-2b&supportServerless=false&supportServerful=false&hasVariants=false&page=customize
null
null
null
null
null
null
null
null
null
google/gemma-2-2b-it
huggingface-llm-gemma-2-2b-instruct
false
false
true
false
false
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model = JumpStartModel(model_id="huggingface-llm-gemma-2-2b-instruct") example_payloads = model....
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
null
null
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google%2Fgemma-2-2b-it&smModelId=huggingface-llm-gemma-2-2b-instruct&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google%2Fgemma-2-2b-it&smModelId=huggingface-llm-gemma-2-2b-instruct&supportServerless=false&supportServerful=false&hasVariants=false&page=customize
null
null
null
null
null
null
null
null
null
google/gemma-2-9b
huggingface-llm-gemma-2-9b
false
false
true
false
false
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model = JumpStartModel(model_id="huggingface-llm-gemma-2-9b") example_payloads = model.retrieve_...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
null
null
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google%2Fgemma-2-9b&smModelId=huggingface-llm-gemma-2-9b&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google%2Fgemma-2-9b&smModelId=huggingface-llm-gemma-2-9b&supportServerless=false&supportServerful=false&hasVariants=false&page=customize
null
null
null
null
null
null
null
null
null
google/gemma-2-9b-it
huggingface-llm-gemma-2-9b-instruct
false
false
true
false
false
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model = JumpStartModel(model_id="huggingface-llm-gemma-2-9b-instruct") example_payloads = model....
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
null
null
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google%2Fgemma-2-9b-it&smModelId=huggingface-llm-gemma-2-9b-instruct&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google%2Fgemma-2-9b-it&smModelId=huggingface-llm-gemma-2-9b-instruct&supportServerless=false&supportServerful=false&hasVariants=false&page=customize
null
null
null
null
null
null
null
null
null
google/gemma-2b
huggingface-llm-gemma-2b
false
true
true
true
false
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model = JumpStartModel(model_id="huggingface-llm-gemma-2b") example_payloads = model.retrieve_al...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
# Fine-tune a gated Hugging Face Hub model using the SageMaker Python SDK v3. # This model requires a Hugging Face token to download weights. # See https://github.com/huggingface/transformers/tree/v4.56.2/examples/pytorch import boto3 from sagemaker.train.model_trainer import ModelTrainer from sagemaker.core.training....
[]
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google%2Fgemma-2b&smModelId=huggingface-llm-gemma-2b&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google%2Fgemma-2b&smModelId=huggingface-llm-gemma-2b&supportServerless=false&supportServerful=true&hasVariants=false&page=customize
null
null
null
null
null
null
null
null
null
google/gemma-2b-it
huggingface-llm-gemma-2b-instruct
false
true
true
true
false
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model = JumpStartModel(model_id="huggingface-llm-gemma-2b-instruct") example_payloads = model.re...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
# Fine-tune a gated Hugging Face Hub model using the SageMaker Python SDK v3. # This model requires a Hugging Face token to download weights. # See https://github.com/huggingface/transformers/tree/v4.56.2/examples/pytorch import boto3 from sagemaker.train.model_trainer import ModelTrainer from sagemaker.core.training....
[]
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google%2Fgemma-2b-it&smModelId=huggingface-llm-gemma-2b-instruct&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google%2Fgemma-2b-it&smModelId=huggingface-llm-gemma-2b-instruct&supportServerless=false&supportServerful=true&hasVariants=false&page=customize
null
null
null
null
null
null
null
null
null
google/gemma-3-1b-it
huggingface-llm-gemma-3-1b-instruct
false
false
true
false
false
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model = JumpStartModel(model_id="huggingface-llm-gemma-3-1b-instruct") example_payloads = model....
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
null
null
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google%2Fgemma-3-1b-it&smModelId=huggingface-llm-gemma-3-1b-instruct&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google%2Fgemma-3-1b-it&smModelId=huggingface-llm-gemma-3-1b-instruct&supportServerless=false&supportServerful=false&hasVariants=false&page=customize
null
null
null
null
null
null
null
null
null
google/gemma-3-27b-it
huggingface-vlm-gemma-3-27b-instruct
false
false
true
false
false
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model_id = "huggingface-vlm-gemma-3-27b-instruct" model = JumpStartModel(model_id=model_id) pay...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
null
null
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google%2Fgemma-3-27b-it&smModelId=huggingface-vlm-gemma-3-27b-instruct&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google%2Fgemma-3-27b-it&smModelId=huggingface-vlm-gemma-3-27b-instruct&supportServerless=false&supportServerful=false&hasVariants=false&page=customize
null
null
null
null
null
null
null
null
null
google/gemma-3-4b-it
huggingface-vlm-gemma-3-4b-instruct
null
null
true
false
null
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model_id = "huggingface-vlm-gemma-3-4b-instruct" model = JumpStartModel(model_id=model_id) payl...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
google/gemma-4-26B-A4B-it
huggingface-vlm-gemma-4-26b-a4b-it
null
null
true
false
null
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model_id = "huggingface-vlm-gemma-4-26b-a4b-it" model = JumpStartModel(model_id=model_id) paylo...
[{"href": "https://aws.amazon.com/sagemaker/jumpstart", "label": "Amazon SageMaker JumpStart"}]
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
google/gemma-4-31B-it
huggingface-vlm-gemma-4-31b-it
true
false
true
true
false
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model_id = "huggingface-vlm-gemma-4-31b-it" model = JumpStartModel(model_id=model_id) payload =...
[{"href": "https://aws.amazon.com/sagemaker/jumpstart", "label": "Amazon SageMaker JumpStart"}]
null
null
null
null
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google%2Fgemma-4-31b-it&smModelId=huggingface-vlm-gemma-4-31b-it&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google%2Fgemma-4-31b-it&smModelId=huggingface-vlm-gemma-4-31b-it&supportServerless=true&supportServerful=false&hasVariants=false&page=customize
null
null
null
null
null
null
null
null
null
google/gemma-4-E2B-it
huggingface-vlm-gemma-4-e2b-instruct
false
false
true
false
false
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model_id = "huggingface-vlm-gemma-4-e2b-instruct" model = JumpStartModel(model_id=model_id) pay...
[{"href": "https://aws.amazon.com/sagemaker/jumpstart", "label": "Amazon SageMaker JumpStart"}]
null
null
null
null
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google%2Fgemma-4-e2b-it&smModelId=huggingface-vlm-gemma-4-e2b-instruct&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google%2Fgemma-4-e2b-it&smModelId=huggingface-vlm-gemma-4-e2b-instruct&supportServerless=false&supportServerful=false&hasVariants=false&page=customize
null
null
null
null
null
null
null
null
null
google/gemma-4-E4B-it
huggingface-vlm-gemma-4-e4b-it
true
false
true
true
false
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model_id = "huggingface-vlm-gemma-4-e4b-it" model = JumpStartModel(model_id=model_id) payload =...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
null
null
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google%2Fgemma-4-e4b-it&smModelId=huggingface-vlm-gemma-4-e4b-it&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google%2Fgemma-4-e4b-it&smModelId=huggingface-vlm-gemma-4-e4b-it&supportServerless=true&supportServerful=false&hasVariants=false&page=customize
null
null
null
null
null
null
null
null
null
google/gemma-7b
huggingface-llm-gemma-7b
false
true
true
true
false
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model = JumpStartModel(model_id="huggingface-llm-gemma-7b") example_payloads = model.retrieve_al...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
# Fine-tune a gated Hugging Face Hub model using the SageMaker Python SDK v3. # This model requires a Hugging Face token to download weights. # See https://github.com/huggingface/transformers/tree/v4.56.2/examples/pytorch import boto3 from sagemaker.train.model_trainer import ModelTrainer from sagemaker.core.training....
[]
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google%2Fgemma-7b&smModelId=huggingface-llm-gemma-7b&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google%2Fgemma-7b&smModelId=huggingface-llm-gemma-7b&supportServerless=false&supportServerful=true&hasVariants=false&page=customize
null
null
null
null
null
null
null
null
null
google/gemma-7b-it
huggingface-llm-gemma-7b-instruct
false
true
true
true
false
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model = JumpStartModel(model_id="huggingface-llm-gemma-7b-instruct") example_payloads = model.re...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
# Fine-tune a gated Hugging Face Hub model using the SageMaker Python SDK v3. # This model requires a Hugging Face token to download weights. # See https://github.com/huggingface/transformers/tree/v4.56.2/examples/pytorch import boto3 from sagemaker.train.model_trainer import ModelTrainer from sagemaker.core.training....
[]
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google%2Fgemma-7b-it&smModelId=huggingface-llm-gemma-7b-instruct&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=google%2Fgemma-7b-it&smModelId=huggingface-llm-gemma-7b-instruct&supportServerless=false&supportServerful=true&hasVariants=false&page=customize
null
null
null
null
null
null
null
null
null
gradientai/Llama-3-8B-Instruct-262k
huggingface-llm-gradientai-llama-3-8B-instruct-262k
false
false
true
false
false
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model = JumpStartModel(model_id="huggingface-llm-gradientai-llama-3-8B-instruct-262k") example_p...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
null
null
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=gradientai%2Fllama-3-8b-instruct-262k&smModelId=huggingface-llm-gradientai-llama-3-8B-instruct-262k&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=gradientai%2Fllama-3-8b-instruct-262k&smModelId=huggingface-llm-gradientai-llama-3-8B-instruct-262k&supportServerless=false&supportServerful=false&hasVariants=false&page=customize
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gradientai/Llama-3-8B-Instruct-Gradient-1048k
huggingface-llm-llama-3-8b-instruct-gradient
false
false
true
false
false
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model = JumpStartModel(model_id="huggingface-llm-llama-3-8b-instruct-gradient") example_payloads...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
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null
null
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=gradientai%2Fllama-3-8b-instruct-gradient-1048k&smModelId=huggingface-llm-llama-3-8b-instruct-gradient&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=gradientai%2Fllama-3-8b-instruct-gradient-1048k&smModelId=huggingface-llm-llama-3-8b-instruct-gradient&supportServerless=false&supportServerful=false&hasVariants=false&page=customize
null
null
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null
haor/Evt_V3
huggingface-txt2img-haor-evt-v3
null
null
true
false
null
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model = JumpStartModel(model_id="huggingface-txt2img-haor-evt-v3") example_payloads = model.retr...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
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null
null
null
null
null
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null
null
null
null
hassanblend/hassanblend1.4
huggingface-txt2img-hassanblend-hassanblend1-4
null
null
true
false
null
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model = JumpStartModel(model_id="huggingface-txt2img-hassanblend-hassanblend1-4") example_payloa...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
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null
null
null
null
null
null
null
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null
null
null
null
null
null
ibm-research/qcpg-sentences
huggingface-text2text-qcpg-sentences
false
false
true
false
false
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model = JumpStartModel(model_id="huggingface-text2text-qcpg-sentences") example_payloads = model...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
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null
null
null
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=ibm-research%2Fqcpg-sentences&smModelId=huggingface-text2text-qcpg-sentences&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=ibm-research%2Fqcpg-sentences&smModelId=huggingface-text2text-qcpg-sentences&supportServerless=false&supportServerful=false&hasVariants=false&page=customize
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null
null
null
null
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null
null
null
intfloat/e5-base
huggingface-sentencesimilarity-e5-base
false
true
true
true
false
from sagemaker.jumpstart.model import JumpStartModel import json model_id = "huggingface-sentencesimilarity-e5-base" endpoint_input = json.dumps(["How cute your dog is!", "Your dog is so cute."]) model = JumpStartModel(model_id=model_id) predictor = model.deploy() response = predictor.predict(endpoint_input) print(f"...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
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null
null
null
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=intfloat%2Fe5-base&smModelId=huggingface-sentencesimilarity-e5-base&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=intfloat%2Fe5-base&smModelId=huggingface-sentencesimilarity-e5-base&supportServerless=false&supportServerful=true&hasVariants=false&page=customize
null
null
null
null
null
null
null
null
null
intfloat/e5-base-v2
huggingface-sentencesimilarity-e5-base-v2
false
true
true
true
false
from sagemaker.jumpstart.model import JumpStartModel import json model_id = "huggingface-sentencesimilarity-e5-base-v2" endpoint_input = json.dumps(["How cute your dog is!", "Your dog is so cute."]) model = JumpStartModel(model_id=model_id) predictor = model.deploy() response = predictor.predict(endpoint_input) print...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
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null
null
null
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=intfloat%2Fe5-base-v2&smModelId=huggingface-sentencesimilarity-e5-base-v2&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=intfloat%2Fe5-base-v2&smModelId=huggingface-sentencesimilarity-e5-base-v2&supportServerless=false&supportServerful=true&hasVariants=false&page=customize
null
null
null
null
null
null
null
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null
intfloat/e5-large
huggingface-sentencesimilarity-e5-large
null
null
true
false
null
from sagemaker.jumpstart.model import JumpStartModel import json model_id = "huggingface-sentencesimilarity-e5-large" endpoint_input = json.dumps(["How cute your dog is!", "Your dog is so cute."]) model = JumpStartModel(model_id=model_id) predictor = model.deploy() response = predictor.predict(endpoint_input) print(f...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
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null
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null
null
null
null
null
null
null
null
null
null
null
intfloat/e5-large-v2
huggingface-sentencesimilarity-e5-large-v2
false
true
true
true
false
from sagemaker.jumpstart.model import JumpStartModel import json model_id = "huggingface-sentencesimilarity-e5-large-v2" endpoint_input = json.dumps(["How cute your dog is!", "Your dog is so cute."]) model = JumpStartModel(model_id=model_id) predictor = model.deploy() response = predictor.predict(endpoint_input) prin...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
null
null
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=intfloat%2Fe5-large-v2&smModelId=huggingface-sentencesimilarity-e5-large-v2&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=intfloat%2Fe5-large-v2&smModelId=huggingface-sentencesimilarity-e5-large-v2&supportServerless=false&supportServerful=true&hasVariants=false&page=customize
null
null
null
null
null
null
null
null
null
intfloat/e5-small-v2
huggingface-sentencesimilarity-e5-small-v2
null
null
true
false
null
from sagemaker.jumpstart.model import JumpStartModel import json model_id = "huggingface-sentencesimilarity-e5-small-v2" endpoint_input = json.dumps(["How cute your dog is!", "Your dog is so cute."]) model = JumpStartModel(model_id=model_id) predictor = model.deploy() response = predictor.predict(endpoint_input) prin...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
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null
null
null
null
null
null
null
null
null
null
null
null
null
null
intfloat/multilingual-e5-base
huggingface-sentencesimilarity-multilingual-e5-base
false
true
true
true
false
from sagemaker.jumpstart.model import JumpStartModel import json model_id = "huggingface-sentencesimilarity-multilingual-e5-base" endpoint_input = json.dumps(["How cute your dog is!", "Your dog is so cute."]) model = JumpStartModel(model_id=model_id) predictor = model.deploy() response = predictor.predict(endpoint_in...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
null
null
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=intfloat%2Fmultilingual-e5-base&smModelId=huggingface-sentencesimilarity-multilingual-e5-base&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=intfloat%2Fmultilingual-e5-base&smModelId=huggingface-sentencesimilarity-multilingual-e5-base&supportServerless=false&supportServerful=true&hasVariants=false&page=customize
null
null
null
null
null
null
null
null
null
intfloat/multilingual-e5-large
huggingface-sentencesimilarity-multilingual-e5-large
false
true
true
true
false
from sagemaker.jumpstart.model import JumpStartModel import json model_id = "huggingface-sentencesimilarity-multilingual-e5-large" endpoint_input = json.dumps(["How cute your dog is!", "Your dog is so cute."]) model = JumpStartModel(model_id=model_id) predictor = model.deploy() response = predictor.predict(endpoint_i...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
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null
null
null
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=intfloat%2Fmultilingual-e5-large&smModelId=huggingface-sentencesimilarity-multilingual-e5-large&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=intfloat%2Fmultilingual-e5-large&smModelId=huggingface-sentencesimilarity-multilingual-e5-large&supportServerless=false&supportServerful=true&hasVariants=false&page=customize
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null
null
null
null
null
null
null
null
katakana/2D-Mix
huggingface-txt2img-katakana-2d-mix
null
null
true
false
null
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model = JumpStartModel(model_id="huggingface-txt2img-katakana-2d-mix") example_payloads = model....
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
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null
null
null
null
null
null
null
null
null
null
null
null
null
null
lighteternal/nli-xlm-r-greek
huggingface-zstc-lighteternal-nli-xlm-r-greek
false
false
true
false
false
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. from sagemaker.jumpstart.model import JumpStartModel model_id = "huggingface-zstc-lighteternal-nli-xlm-r-greek" endpoint_input = {'sequences': 'one d...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
null
null
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=lighteternal%2Fnli-xlm-r-greek&smModelId=huggingface-zstc-lighteternal-nli-xlm-r-greek&hasVariants=false&page=deploy
https://console.aws.amazon.com/sagemaker/launch?source=hf&extModelId=lighteternal%2Fnli-xlm-r-greek&smModelId=huggingface-zstc-lighteternal-nli-xlm-r-greek&supportServerless=false&supportServerful=false&hasVariants=false&page=customize
null
null
null
null
null
null
null
null
null
lllyasviel/control_v11f1p_sd15_depth
model-depth2img-stable-diffusion-v1-5-controlnet-v1-1
null
null
true
false
null
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. import boto3 import base64 import io import json from PIL import Image from sagemaker.jumpstart import utils from sagemaker.jumpstart.model import Jump...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
lllyasviel/sd-controlnet-depth
model-depth2img-stable-diffusion-v1-5-controlnet
null
null
true
false
null
# SageMaker JumpStart provides APIs as part of SageMaker SDK that allow you to deploy and fine-tune models in network isolation using scripts that SageMaker maintains. import boto3 import base64 import io import json from PIL import Image from sagemaker.jumpstart import utils from sagemaker.jumpstart.model import Jump...
[{"label": "Amazon SageMaker JumpStart", "href": "https://aws.amazon.com/sagemaker/jumpstart"}]
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null
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