Update the _toctree.yml file to include your chapter sections - this information will render the table of contents on the website.If you need to include images, place them in the huggingface-course/documentation-images repository and use the HTML Images Syntax with the path. Add numbered MDX files sectionX.mdx for each section. Create a new directory under chapters/en/chapterX, where chapterX is the chapter you'd like to add.These instructions are for the Hugging Face authors.Īdding a new chapter to the course is quite simple: Note: we are not currently accepting community contributions for new chapters. This script extracts all the code snippets from the chapters and stores them as notebooks in the nbs folder (which is ignored by Git by default). Python utils/generate_notebooks.py -output_dir nbs You can do that by cloning the fork with Git as follows: Once you've forked the repo, you'll want to get the files on your local machine for editing. You can do this by clicking on the Fork button on the top-right corner of this repo's page. If you'd like to join, follow the instructions at this channel □: Since it can be difficult to discuss translation details quickly over GitHub issues, we have created dedicated channels for each language on our Discord server. Once an issue is created, post a comment to indicate which chapters you'd like to work on and we'll add your name to the list. If not, open a new issue by selecting the Translation template from the New issue button. To get started, navigate to the Issues page of this repo and check if anyone else has opened an issue for your language. It's completely free and open-source! □ Languages and translations Indonesia petrichor1122, (traditional) the course into your languageĪs part of our mission to democratise machine learning, we'd love to have the course available in many more languages! Please follow the steps below if you'd like to help translate the course into your language □. Along the way, you'll learn how to use the Hugging Face ecosystem - □ Transformers, □ Datasets, □ Tokenizers, and □ Accelerate - as well as the Hugging Face Hub. The course teaches you about applying Transformers to various tasks in natural language processing and beyond. This repo contains the content that's used to create the Hugging Face course.
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