# The Hugging Face Course

A free course teaching how to apply Transformers to natural language processing and other tasks using the Hugging Face ecosystem, including its Transformers, Datasets, Tokenizers and Accelerate libraries.

This repository contains the content used to create the Hugging Face Course. The course teaches how to apply Transformers to various tasks in natural language processing and beyond, and how to use the Hugging Face ecosystem, including the Transformers, Datasets, Tokenizers and Accelerate libraries, as well as the Hugging Face Hub.

It is organized into chapters and has been translated into many languages, including Bengali, German, Spanish, Persian, French, Gujarati, Hebrew, Hindi, Indonesian, Italian, Japanese, Korean, Portuguese, Russian, Telugu, Thai, Turkish, Vietnamese, Chinese and Romanian, maintained by community contributors alongside the original English content.

The course and its content are free and open source.

Website: https://github.com/huggingface/course