# Sagemaker

## Docs

- [Hugging Face on AWS](https://huggingface.co/docs/sagemaker/index.md)
- [Inference Toolkit API](https://huggingface.co/docs/sagemaker/reference/inference-toolkit.md)
- [Resources](https://huggingface.co/docs/sagemaker/reference/resources.md)
- [How to deploy Embedding Models to Amazon SageMaker using new Hugging Face Embedding DLC](https://huggingface.co/docs/sagemaker/examples/sagemaker-sdk-deploy-embedding-models.md)
- [Evaluate LLMs with Hugging Face Lighteval on Amazon SageMaker](https://huggingface.co/docs/sagemaker/examples/sagemaker-sdk-evaluate-llm-lighteval.md)
- [Fine-tune and deploy embedding models with Amazon SageMaker](https://huggingface.co/docs/sagemaker/examples/sagemaker-sdk-fine-tune-embedding-models.md)
- [Deploy Llama 3.3 70B on AWS Inferentia2](https://huggingface.co/docs/sagemaker/examples/sagemaker-sdk-deploy-llama-3-3-70b-inferentia2.md)
- [How to](https://huggingface.co/docs/sagemaker/tutorials/index.md)
- [Train and deploy a Hugging Face model on Amazon SageMaker with the SDK](https://huggingface.co/docs/sagemaker/tutorials/sagemaker-sdk/sagemaker-sdk-quickstart.md)
- [Deploy models to Amazon SageMaker](https://huggingface.co/docs/sagemaker/tutorials/sagemaker-sdk/deploy-sagemaker-sdk.md)
- [Run training on Amazon SageMaker](https://huggingface.co/docs/sagemaker/tutorials/sagemaker-sdk/training-sagemaker-sdk.md)
- [Quickstart - Deploy Hugging Face Models with SageMaker Jumpstart](https://huggingface.co/docs/sagemaker/tutorials/jumpstart/jumpstart-quickstart.md)
- [EC2, ECS and EKS Quickstart](https://huggingface.co/docs/sagemaker/tutorials/compute-services/compute-services-quickstart.md)
- [Quickstart — Using Hugging Face Models with Amazon Bedrock Marketplace](https://huggingface.co/docs/sagemaker/tutorials/bedrock/bedrock-quickstart.md)
- [Introduction](https://huggingface.co/docs/sagemaker/dlcs/introduction.md)
- [Available DLCs on AWS](https://huggingface.co/docs/sagemaker/dlcs/available.md)
