hfModelId large_stringlengths 11 68 | smModelId large_stringlengths 15 66 | serverlessCustomizationSupport bool 2
classes | serverfulTrainingSupport bool 2
classes | deployAvailability bool 1
class | trainingAvailability bool 2
classes | hasMultipleVariants bool 2
classes | endpointCode large_stringlengths 380 1.52k | endpointLinks large_stringclasses 15
values | trainingCode large_stringclasses 34
values | trainingLinks large_stringclasses 5
values | training_hfCode large_stringclasses 31
values | training_hfLinks large_stringclasses 3
values | deployRedirectionLink large_stringlengths 147 234 ⌀ | customizeRedirectionLink large_stringlengths 197 284 ⌀ | rlaifCode large_stringclasses 1
value | rlaifLabel large_stringclasses 1
value | rlaifLinks large_stringclasses 1
value | rlvrCode large_stringclasses 1
value | rlvrLabel large_stringclasses 1
value | rlvrLinks large_stringclasses 1
value | sftCode large_stringclasses 1
value | sftLabel large_stringclasses 1
value | sftLinks large_stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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"}] | null | 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"}] | null | 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 | null | null | null | null | null | null | null | null | null |
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"}] | null | null | 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 | null | null | null | null | null | null | 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"}] | null | null | null | null | null | null | null | null | null | null | null | 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"}] | null | null | null | null | null | null | null | null | null | 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"}] | null | 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 | null | null | null | null | null | null | 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"}] | null | 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"}] | null | 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 | null | 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"}] | null | null | null | null | 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"}] | null | 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"}] | null | 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 | null | 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"}] | null | 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"}] | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
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