SageMaker JumpStart - Amazon SageMaker
Open and use JumpStart

SageMaker JumpStart

SageMaker JumpStart provides pretrained, open-source models for a wide range of problem types to help you get started with machine learning. You can incrementally train and tune these models before deployment. JumpStart also provides solution templates that set up infrastructure for common use cases, and executable example notebooks for machine learning with SageMaker.

You can access the pretrained models, solution templates, and examples through the JumpStart landing page in Amazon SageMaker Studio. The following steps show how to access JumpStart models and solutions using Amazon SageMaker Studio.

You can also access JumpStart models using the SageMaker Python SDK. For information about how to use JumpStart models programmatically, see Use SageMaker JumpStart Algorithms with Pretrained Models.

Open and use JumpStart

The following sections give information on how to open, use, and manage JumpStart from the Amazon SageMaker Studio UI.

Open JumpStart

In Amazon SageMaker Studio, open the JumpStart landing page either through the Home page or the Home menu on the left-side panel.

  • From the Home page you can either:

    • Choose Quick start solutions in the Prebuilt and automated solutions pane. This opens the SageMaker JumpStart landing page.

    • Choose a model directly in the Quick start solutions pane, or choose Browse all Quick start solutions. This opens the SageMaker JumpStart landing page.

  • From the Home menu in the left panel you can either:

    • Navigate to the Quick start solutions node, then choose Solutions, models, example notebooks. This opens the SageMaker JumpStart landing page.

    • Navigate to the Quick start solutions node, then choose Launched Quick start assets.

      The Launch quick start assets page lists your currently launched solutions, deployed model endpoints, and training jobs created with Quick start. You can access the JumpStart landing page from this tab by clicking on the Browse Quick start solutions button at the top right of the tab.

The JumpStart landing page lists available end-to-end machine learning solutions, pretrained models, and example notebooks. From any individual solution or model page, you can choose the Browse JumpStart button ( ) at the top right of the tab to return to the SageMaker JumpStart page.

SageMaker Studio interface with access to JumpStart from the Home navigation menu and the Home page.
Important

Before downloading or using third-party content: You are responsible for reviewing and complying with any applicable license terms and making sure that they are acceptable for your use case.

Use JumpStart

From the SageMaker JumpStart landing page, you can browse for solutions, models, notebooks, and other resources.

SageMaker Studio JumpStart landing page.

You can find JumpStart resources by using the search bar, or by browsing each category. Use the tabs to filter the available solutions by categories:

  • Solutions – In one step, launch comprehensive machine learning solutions that tie SageMaker to other AWS services. Select Explore All Solutions to view all available solutions.

  • ML tasks – Find a model by problem type (e.g., Image Classification, Image Embedding, Object Detection, Text Generation). Select Explore All Models to view all available models.

  • Data types – Find a model by data type (e.g., Vision, Text, Tabular, Audio). Select Explore All Models to view all available models.

  • Notebooks – Find example notebooks that use SageMaker features across multiple model types and use cases. Select Explore All Notebooks to view all available example notebooks.

  • Frameworks – Find a model by framework (e.g., PyTorch, TensorFlow, Hugging Face).

  • Resources – Use example notebooks, blogs, and video tutorials to learn and head start your problem types.

    • Blogs – Read details and solutions from machine learning experts.

    • Video tutorials – Watch video tutorials for SageMaker features and machine learning use cases from machine learning experts.

    • Example notebooks – Run example notebooks that use SageMaker features like Spot Instance training and experiments over a large variety of model types and use cases.

Manage JumpStart

From the Home menu in the left panel, navigate to Quick start solutions, then choose Launched Quick start assets to list your currently launched solutions, deployed model endpoints, and training jobs created with Quick start.

SageMaker Studio JumpStart Launched Quick start assets page.

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