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<h1><a href="/" class="header-link">🤗 HF-Mirror</a></h1>
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<h2>如何使用HF-Mirror🌟
</h2>
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<div class="instructions">
<blockquote>本站域名
<a href="https://hf-mirror.com" target="_blank">hf-mirror.com</a>,用于镜像
<a href="https://huggingface.co" target="_blank">huggingface.co</a>
域名。作为一个公益项目,致力于帮助国内AI开发者快速、稳定的下载模型、数据集。捐赠支持请看网页左下角,感谢支持!
</blockquote>
更多详细用法请看<b><a href="https://zhuanlan.zhihu.com/p/663712983">《这篇教程》</a></b>
<h3>方法一:网页下载</h3>
<p>在本站搜索,并在模型主页的<code>Files and Version</code>中下载文件。</p>
<h3>方法二:huggingface-cli</h3>
<p><a href="https://hf-mirror.com/docs/huggingface_hub/guides/download#download-from-the-cli"><code>huggingface-cli</code>
</a>是 Hugging Face 官方提供的命令行工具,自带完善的下载功能。</p>
<b>1. 安装依赖</b><br>
<pre
class="code-sample"><code>pip install -U huggingface_hub</code><button onclick="copyCode(this)">Copy</button></pre>
<b>2. 设置环境变量</b>
<br><i>Linux</i>
<pre
class="code-sample"><code>export HF_ENDPOINT=https://hf-mirror.com</code><button onclick="copyCode(this)">Copy</button></pre>
<i>Windows Powershell</i>
<pre
class="code-sample"><code>$env:HF_ENDPOINT = "https://hf-mirror.com"</code><button onclick="copyCode(this)">Copy</button></pre>
建议将上面这一行写入 <code>~/.bashrc</code>
<br><b>3.1 下载模型</b>
<pre
class="code-sample"><code>huggingface-cli download --resume-download gpt2 --local-dir gpt2</code><button onclick="copyCode(this)">Copy</button></pre>
<b>3.2 下载数据集</b>
<pre
class="code-sample"><code>huggingface-cli download --repo-type dataset --resume-download wikitext --local-dir wikitext</code><button onclick="copyCode(this)">Copy</button></pre>
可以添加 <code>--local-dir-use-symlinks False</code> 参数禁用文件软链接,这样下载路径下所见即所得,详细解释请见上面提到的教程。
<h3>方法三:使用 hfd </h3>
<p><b><a href="https://gist.github.com/padeoe/697678ab8e528b85a2a7bddafea1fa4f">hfd</a></b> 是本站开发的
huggingface 专用下载工具,基于成熟工具 <code>aria2</code>,可以做到稳定高速下载不断线。</p>
<b>1. 下载hfd</b>
<pre
class="code-sample"><code>wget https://hf-mirror.com/hfd/hfd.sh<br>chmod a+x hfd.sh</code><button onclick="copyCode(this)">Copy</button></pre>
<b>2. 设置环境变量</b>
<br><i>Linux</i>
<pre
class="code-sample"><code>export HF_ENDPOINT=https://hf-mirror.com</code><button onclick="copyCode(this)">Copy</button></pre>
<i>Windows Powershell</i>
<pre
class="code-sample"><code>$env:HF_ENDPOINT = "https://hf-mirror.com"</code><button onclick="copyCode(this)">Copy</button></pre>
<b>3.1 下载模型</b>
<pre
class="code-sample"><code>./hfd.sh gpt2</code><button onclick="copyCode(this)">Copy</button></pre>
<b>3.2 下载数据集</b>
<pre
class="code-sample"><code>./hfd.sh wikitext --dataset</code><button onclick="copyCode(this)">Copy</button></pre>
<h3>方法四:使用环境变量(非侵入式)</h3>
<p>非侵入式,能解决大部分情况。huggingface 工具链会获取<code>HF_ENDPOINT</code>环境变量来确定下载文件所用的网址,所以可以使用通过设置变量来解决。
<pre class="code-sample"><code>HF_ENDPOINT=https://hf-mirror.com python your_script.py</code><button onclick="copyCode(this)">Copy</button>
</pre>
不过有些数据集有内置的下载脚本,那就需要手动改一下脚本内的地址来实现了。
</p>
<div class="QA">
<h2 class="QA">常见问题</h2>
<h3>Q: 有些项目需要登录,如何下载?</h3>
<p>
<b>A</b>:部分 Gated Repo 需登录申请许可。为保障账号安全,本站不支持登录,需先前往 Hugging Face 官网登录、申请许可,在<a
href="https://huggingface.co/settings/tokens">官网这里获取 Access Token</a> 后回镜像站用命令行下载。<br>部分工具下载
Gated Repo 的方法:
</p>
<b>huggingface-cli: 添加<code>--token</code>参数</b>
<pre class="code-sample">
<code>huggingface-cli download --token hf_*** --resume-download meta-llama/Llama-2-7b-hf --local-dir Llama-2-7b-hf</code><button onclick="copyCode(this)">Copy</button>
</pre>
<b>hfd: 添加<code>--hf_username</code><code>--hf_token</code>参数</b>
<pre class="code-sample">
<code>hfd meta-llama/Llama-2-7b --hf_username YOUR_HF_USERNAME --hf_token hf_***</code><button onclick="copyCode(this)">Copy</button>
</pre>
其余如<code>from_pretrained</code><code>wget</code><code>curl</code>如何设置认证 token,详见上面第一段提到的教程。
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