Welcome to the repository dedicated to teaching you how to leverage the power of Hugging Face through code samples!
Hugging Face is an organization that's on a mission to democratize Artificial Intelligence (AI) through natural language processing (NLP). Their libraries, like Transformers and Datasets, have become the de-facto standards for training and deploying state-of-the-art NLP models. Whether it's BERT, GPT-2, T5, or any other popular model, chances are that Hugging Face has an easy-to-use implementation of it.
- State-of-the-Art Models: Access to the latest NLP models, pre-trained and ready to deploy.
- Ease of Use: Simple interfaces to tokenize, train, and evaluate models.
- Community-Driven: The Hugging Face model hub allows sharing and using models from the community.
- Broad Framework Support: Hugging Face supports popular ML frameworks like PyTorch and TensorFlow.
- Scalable: Whether you're prototyping on your local machine or deploying in a production environment, Hugging Face is designed to scale.
Table of Contents
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Beginner
- The Basics .. coming soon
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Intermediate .. coming soon
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Advanced ... coming soon
We'd love for you to contribute to this repository and help make it even better! Here's how you can help:
- Fork the Repository: Click on the 'Fork' button at the top right corner of this page.
- Clone Your Fork: Open your terminal and run: git clone https://github.com/YOUR_USERNAME/HuggingFace-Code-Samples.git
- Create a New Branch: Navigate to your local repository and run: git checkout -b new-feature
- Make Your Changes: Add or edit code samples.
- Commit and Push: Once you're satisfied with your changes, push them to your fork.
- Open a Pull Request: Go to this repository and click on 'New Pull Request'. Choose the branch you just pushed to your fork and submit the PR!
Before submitting your pull request, please make sure:
- Your code samples are well-commented and clear.
- You've tested your code to ensure it runs without errors.
- You've updated any relevant documentation or added comments.
If you find any issues or would like to provide feedback, please open an issue or submit a pull request.
Thank you for your interest in this repository! We hope these code samples help you on your NLP journey with Hugging Face.