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A CLI tool to download Hugging Face models and datasets from mirror sites.

Project description

hf_mirror_hub

一个从 Hugging Face 镜像站点快速下载模型和数据集的命令行工具。

特性

  • 使用 Hugging Face 镜像站点加速下载
  • 支持 hf-transfer 加速下载
  • 支持指定保存目录
  • 支持使用 Hugging Face Hub 访问令牌
  • 自动转换软链接为实际文件

安装

从 PyPI 安装 (推荐)

pip install hf-mirror-hub

从源码安装

git clone https://github.com/neverbiasu/hf-mirror-hub.git
cd hf-mirror-hub
conda create -n hf-mirror-hub python=3.8 # 非必需,也可以用 venv 或者直接安装
conda activate hf-mirror-hub
pip install -e .

使用说明

基本用法 (下载模型)

hf-mirror-hub --model <model_name>

完整参数

hf-mirror-hub --model <model_name> --save_dir <save_path> --token <your_token> [--no-hf-transfer]

参数说明

  • --model, -M: 可选,模型名称 (例如: deepseek-ai/DeepSeek-R1-Distill-Qwen-32B)
  • --save_dir, -S: 可选,保存目录路径 (默认为 data)
  • --token, -T: 可选,Hugging Face 访问令牌 (用于访问私有模型或数据集)
  • --no-hf-transfer: 可选,禁用 hf-transfer 加速

贡献

如果您认为仓库有什么可以修改或者优化的地方,可以提issues说明或fork本仓库更改后提PR。

许可证

MIT

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