{"library":"hf-xet","type":"library","category":null,"description":"hf-xet is a foundational Python library that provides client technology for Xet storage, deeply integrated within the Hugging Face Hub ecosystem. It enables efficient, chunk-based deduplicated transfer of large files, such as machine learning models and datasets, to and from the Hugging Face Hub. This Rust-based library serves primarily as a backend for `huggingface_hub` and is not typically intended for direct user interaction. The project maintains an active development status, with releases often coinciding with or supporting major updates to the `huggingface_hub` library.","language":"python","status":"active","version":"1.4.2","tags":["huggingface","large-files","data-transfer","version-control","ml-models","datasets","rust","backend"],"last_verified":"Tue Jun 09","install":[{"cmd":"pip install hf-xet","imports":["hf-xet is primarily an internal dependency of huggingface_hub. Users interact through huggingface_hub's API."]}],"homepage":null,"github":"https://github.com/huggingface/xet-core","docs":"https://huggingface.co/docs/hub/xet/index","changelog":null,"pypi":"https://pypi.org/project/hf-xet/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":1.7,"avg_import_s":null,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/hf-xet/compatibility"}}