You can use these functions independently or integrate them into your own library, making it more convenient for your users to interact with the Hub. The Hugging Face Hub is the go-to place for sharing machine learning models, demos, datasets, and metrics. You can choose UD-Q4_K_XL or other quantized versions. Aug 5, 2024 · In this tutorial, we explain how to correctly and quickly download files, folders, and complete repositories from the Hugging Face website to folders on your (local) computer. The huggingface_hub library allows you to interact with the Hugging Face Hub, a platform democratizing open-source Machine Learning for creators and collaborators. To avoid double counting downloads (e. safetensors" # Load model, please fill in your access tokens since SD3 repo is a gated model. Read more It was built on Meta's No Language Left Behind open-source AI model, enabling free text translation across 200 languages, including many low-resource languages. 关于将 LLM 保存并部署到 SGLang 以在生产中提供服务的指南 You can use the huggingface_hub library to create, delete, update and retrieve information from repos. Contribute to huggingface/open-r1 development by creating an account on GitHub.

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