Build, train, deploy, and operationalize Hugging Face models on Amazon SageMaker

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Published Feb 20, 2025

The field of natural language processing (NLP) is developing rapidly, and NLP models are growing increasingly large and complex. Through strong ecosystem partnerships with organizations like Hugging Face and advanced distributed training capabilities, Amazon SageMaker is one of the easiest platforms with which you can quickly train NLP models. In this workshop, learn how you can explore Hugging Face Transformer models and experiment on an end-to-end text generation use case with Amazon SageMaker capabilities such as SageMaker Training Compiler, Clarify, Pipelines, multi-model endpoints, Amazon S3, and AWS Inferentia.

Learning Objectives:
- Learn about Hugging Face AWS Deep Learning Containers (DLCs)
- Learn how to get started with Hugging Face models on Amazon SageMaker
- Learn how you can implement an end-to-end text generation use case with Hugging Face Transformer models on Amazon SageMaker

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