Metadata-Version: 2.4
Name: hfd
Version: 0.1.4
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.7
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 :: Rust
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Summary: Fast HuggingFace model downloader
Keywords: huggingface,model,download,machine-learning,deep-learning
Author: Your Name <your.email@example.com>
Author-email: migu <migu@example.com>
Maintainer-email: migu <migu@example.com>
Requires-Python: >=3.7
Description-Content-Type: text/markdown
Project-URL: Homepage, https://github.com/migu/hfd
Project-URL: Repository, https://github.com/migu/hfd
Project-URL: Documentation, https://github.com/migu/hfd

# HFD - Hugging Face Downloader

A fast and efficient tool for downloading models from Hugging Face.

## Features

- Fast parallel downloads
- Support for multiple platforms (Linux, Windows, macOS)
- Easy to use command-line interface
- Progress bar for download tracking
- Local directory support

## Installation

```bash
pip install hfd
```

## Usage

```bash
# Download a model to the default cache directory
hfd bert-base-uncased

# Download a model to a specific directory
hfd bert-base-uncased --local-dir ./bert

# Use a mirror for faster downloads
HF_ENDPOINT=https://hf-mirror.com hfd bert-base-uncased
```

## License

MIT License

