cpu-diffusers.upgrade-tmp/venv/lib/python3.10/site-packages/hf_xet-1.5.0.dist-info/METADATA

Metadata-Version: 2.4
Name: hf-xet
Version: 1.5.0
Classifier: Development Status :: 5 - Production/Stable
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Rust
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Python :: 3.14
Classifier: Programming Language :: Python :: Free Threading
Classifier: Programming Language :: Python :: Free Threading :: 2 - Beta
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Dist: pytest ; extra == 'tests'
Provides-Extra: tests
License-File: LICENSE
Summary: Fast transfer of large files with the Hugging Face Hub.
Maintainer-email: Rajat Arya <rajat@rajatarya.com>, Jared Sulzdorf <j.sulzdorf@gmail.com>, Di Xiao <di@huggingface.co>, Assaf Vayner <assaf@huggingface.co>, Hoyt Koepke <hoytak@gmail.com>
License-Expression: Apache-2.0
Requires-Python: >=3.8
Description-Content-Type: text/markdown; charset=UTF-8; variant=GFM
Project-URL: Documentation, https://huggingface.co/docs/hub/xet/index
Project-URL: Homepage, https://github.com/huggingface/xet-core
Project-URL: Issues, https://github.com/huggingface/xet-core/issues
Project-URL: Repository, https://github.com/huggingface/xet-core.git

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    <a href="https://github.com/huggingface/xet-core/blob/main/LICENSE"><img alt="License" src="https://img.shields.io/github/license/huggingface/xet-core.svg?color=blue"></a>
    <a href="https://github.com/huggingface/xet-core/releases"><img alt="GitHub release" src="https://img.shields.io/github/release/huggingface/xet-core.svg"></a>
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</p>

<h3 align="center">
  <p>🤗 hf-xet - xet client tech, used in <a target="_blank" href="https://github.com/huggingface/huggingface_hub/">huggingface_hub</a></p>
</h3>

## Welcome

`hf-xet` enables `huggingface_hub` to utilize xet storage for uploading and downloading to HF Hub. Xet storage provides chunk-based deduplication, efficient storage/retrieval with local disk caching, and backwards compatibility with Git LFS. This library is not meant to be used directly, and is instead intended to be used from [huggingface_hub](https://pypi.org/project/huggingface-hub).

## Key features

♻ **chunk-based deduplication implementation**: avoid transferring and storing chunks that are shared across binary files (models, datasets, etc).

🤗 **Python bindings**: bindings for [huggingface_hub](https://github.com/huggingface/huggingface_hub/) package.

↔ **network communications**: concurrent communication to HF Hub Xet backend services (CAS).

🔖 **local disk caching**: chunk-based cache that sits alongside the existing [huggingface_hub disk cache](https://huggingface.co/docs/huggingface_hub/guides/manage-cache).

## Installation

Install the `hf_xet` package with [pip](https://pypi.org/project/hf-xet/):

```bash
pip install hf_xet
```

## Quick Start

`hf_xet` is not intended to be run independently as it is expected to be used from `huggingface_hub`, so to get started with `huggingface_hub` check out the documentation [here]("https://hf.co/docs/huggingface_hub").

## Contributions (feature requests, bugs, etc.) are encouraged & appreciated 💙💚💛💜🧡❤️

Please join us in making hf-xet better. We value everyone's contributions. Code is not the only way to help. Answering questions, helping each other, improving documentation, filing issues all help immensely. If you are interested in contributing (please do!), check out the [contribution guide](https://github.com/huggingface/xet-core/blob/main/CONTRIBUTING.md) for this repository.