🤗 Hub client library
Thehuggingface_hub library allows you to interact with theHugging FaceHub, a machine learning platform for creators and collaborators.Discover pre-trained models and datasets for your projects or play with the hundreds ofmachine learning apps hosted on the Hub. You can also create and share your own modelsand datasets with the community. Thehuggingface_hub library provides a simple way todo all these things with Python.
Read thequick start guide to get up and running with thehuggingface_hub library. You will learn how to download files from the Hub, create arepository, and upload files to the Hub. Keep reading to learn more about how to manageyour repositories on the 🤗 Hub, how to interact in discussions or even how to run inference.
Practical guides to help you achieve a specific goal. Take a look at these guides to learn how to use huggingface_hub to solve real-world problems.
Exhaustive and technical description of huggingface_hub classes and methods.
High-level explanations for building a better understanding of huggingface_hub philosophy.
Contribute
All contributions to thehuggingface_hub are welcomed and equally valued! 🤗 Besidesadding or fixing existing issues in the code, you can also help improve thedocumentation by making sure it is accurate and up-to-date, help answer questions onissues, and request new features you think will improve the library. Take a look at thecontributionguide tolearn more about how to submit a new issue or feature request, how to submit a pullrequest, and how to test your contributions to make sure everything works as expected.
Contributors should also be respectful of ourcode ofconduct tocreate an inclusive and welcoming collaborative space for everyone.
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