
Hugging Face Blog
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Hugging Face models in Amazon Bedrock
We are excited to announce that popular open models from Hugging Face are now available on Amazon Bedrock in the new Bedrock Marketplace! AWS customers can now deploy 83 open models with Bedrock Marketplace to build their Generative AI applications.
Under the hood, Bedrock Marketplace model endpoints are managed by Amazon Sagemaker Jumpstart. With Bedrock Marketplace, you can now combine the ease of use of SageMaker JumpStart with the fully managed infrastructure of Amazon Bedrock, including compatibility with high-level APIs such as Agents, Knowledge Bases, Guardrails and Model Evaluations.
When registering your Sagemaker Jumpstart endpoints in Amazon Bedrock, you only pay for the Sagemaker compute resources and regular Amazon Bedrock APIs prices are applicable.
In this blog we will show you how to deploy Gemma 2 27B Instruct and use the model with Amazon Bedrock APIs. Learn how to:
- Deploy Google Gemma 2 27B Instruct
- Send requests using the Amazon Bedrock APIs
- Clean Up
Deploy Google Gemma 2 27B Instruct
There are two ways to deploy an open model to be used with Amazon Bedrock:
- You can deploy your open model from the Bedrock Model Catalog.
- You can deploy your open model with Amazon Jumpstart and register it with Bedrock.
Both ways are similar, so we will guide you through the Bedrock Model catalog.
To get started, in the Amazon Bedrock console, make sure you are in one of the 14 regions where the Bedrock Marketplace is available. Then, you choose “Model catalog” in the “Foundation models” section of the navigation pane. Here, you can search for both serverless models and models available in Amazon Bedrock Marketplace. You filter results by “Hugging Face” provider and you can browse through the 83 open models available.
For example, let’s search and select Google Gemma 2 27B Instruct.
Choosing the model opens the model detail page where you can see more information from the model provider such as highlights about the model, and usage including sample API calls.
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