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🤗 Hub client library

The `huggingface_hub` library allows you to interact with the Hugging Face Hub, a machine learning platform for creators and collaborators. Discover pre-trained models and datasets for your projects or play with the hundreds of machine learning apps hosted on the Hub. You can also create and share your own models and datasets with the community. The `huggingface_hub` library provides a simple way to do all these things with Python.

Read the quick start guide to get up and running with the `huggingface_hub` library. You will learn how to download files from the Hub, create a repository, and upload files to the Hub. Keep reading to learn more about how to manage your repositories on the 🤗 Hub, how to interact in discussions or even how to run inference.

How-to guides

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.

Reference

Exhaustive and technical description of huggingface_hub classes and methods.

Conceptual guides

High-level explanations for building a better understanding of huggingface_hub philosophy.

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Contribute

All contributions to the `huggingface_hub` are welcomed and equally valued! 🤗 Besides adding or fixing existing issues in the code, you can also help improve the documentation by making sure it is accurate and up-to-date, help answer questions on issues, and request new features you think will improve the library. Take a look at the contribution guide to learn more about how to submit a new issue or feature request, how to submit a pull request, and how to test your contributions to make sure everything works as expected.

Contributors should also be respectful of our code of conduct to create an inclusive and welcoming collaborative space for everyone.

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