From Hugging Face to Amazon SageMaker Studio in one click | Amazon Web Services
Artificial Intelligence
Today, we’re excited to announce a deep-link integration between Hugging Face and Amazon SageMaker AI. Developers can now go from model discovery to hands-on experimentation in SageMaker Studio with a single selection. Whether you fine-tune a foundation model (FM) from Amazon SageMaker JumpStart or deploy it to an Amazon SageMaker Inference endpoint, you can now land directly inside the relevant SageMaker Studio workflow. Your selected model is pre-loaded, and the environment is fully configured and ready to go.
Previously, getting started on SageMaker Studio after discovering a model on Hugging Face required navigating multiple steps. These included opening Amazon SageMaker AI on the AWS Management Console, creating a domain, configuring AWS Identity and Access Management (IAM) permissions, and sometimes requesting graphics processing unit (GPU) quota. For developers who want to iterate quickly, this friction slows down the path from inspiration to experimentation. The integration creates a more...
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