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<li class="toctree-l3"><a class="reference internal" href="#linux-cpu">Linux (CPU)</a></li>
<li class="toctree-l3"><a class="reference internal" href="#windows-cpu">Windows (CPU)</a></li>
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<section id="from-pre-compiled-wheels-recommended">
<h1>From pre-compiled wheels (Recommended)<a class="headerlink" href="#from-pre-compiled-wheels-recommended" title="Permalink to this heading"></a></h1>
<p>You can find pre-compiled wheels at</p>
<blockquote>
<div><ul class="simple">
<li><p>CPU wheels: <a class="reference external" href="https://csukuangfj.github.io/kaldifeat/cpu.html">https://csukuangfj.github.io/kaldifeat/cpu.html</a></p></li>
<li><p>CUDA wheels: <a class="reference external" href="https://csukuangfj.github.io/kaldifeat/cuda.html">https://csukuangfj.github.io/kaldifeat/cuda.html</a></p></li>
</ul>
</div></blockquote>
<p>We give a few examples below to show you how to install <a class="reference external" href="https://github.com/csukuangfj/kaldifeat">kaldifeat</a> from
pre-compiled wheels.</p>
<div class="admonition hint">
<p class="admonition-title">Hint</p>
<p>The following lists only some examples. We suggest that you always select the
latest version of <code class="docutils literal notranslate"><span class="pre">kaldifeat</span></code>.</p>
</div>
<section id="linux-cpu">
<h2>Linux (CPU)<a class="headerlink" href="#linux-cpu" title="Permalink to this heading"></a></h2>
<p>Suppose you want to install the following wheel:</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>https://huggingface.co/csukuangfj/kaldifeat/resolve/main/ubuntu-cpu/kaldifeat-1.25.4.dev20240725+cpu.torch2.4.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
</pre></div>
</div>
<p>you can use one of the following methods:</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span><span class="c1"># method 1</span>
pip<span class="w"> </span>install<span class="w"> </span><span class="nv">torch</span><span class="o">==</span><span class="m">2</span>.4.0+cpu<span class="w"> </span>-f<span class="w"> </span>https://download.pytorch.org/whl/torch/
pip<span class="w"> </span>install<span class="w"> </span><span class="nv">kaldifeat</span><span class="o">==</span><span class="m">1</span>.25.4.dev20240725+cpu.torch2.4.0<span class="w"> </span>-f<span class="w"> </span>https://csukuangfj.github.io/kaldifeat/cpu.html
<span class="c1"># For users from China</span>
<span class="c1"># 中国国内用户，如果访问不了 huggingface, 请使用</span>
<span class="c1"># pip install kaldifeat==1.25.4.dev20240725+cpu.torch2.4.0 -f https://csukuangfj.github.io/kaldifeat/cpu-cn.html</span>
<span class="c1"># method 2</span>
pip<span class="w"> </span>install<span class="w"> </span><span class="nv">torch</span><span class="o">==</span><span class="m">2</span>.4.0+cpu<span class="w"> </span>-f<span class="w"> </span>https://download.pytorch.org/whl/torch/
wget<span class="w"> </span>https://huggingface.co/csukuangfj/kaldifeat/resolve/main/ubuntu-cpu/kaldifeat-1.25.4.dev20240725+cpu.torch2.4.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
<span class="c1"># For users from China</span>
<span class="c1"># 中国国内用户，如果访问不了 huggingface, 请使用</span>
<span class="c1"># wget https://hf-mirror.com/csukuangfj/kaldifeat/resolve/main/ubuntu-cpu/kaldifeat-1.25.4.dev20240725+cpu.torch2.4.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl</span>
pip<span class="w"> </span>install<span class="w"> </span>./kaldifeat-1.25.4.dev20240725+cpu.torch2.4.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
</pre></div>
</div>
</section>
<section id="windows-cpu">
<h2>Windows (CPU)<a class="headerlink" href="#windows-cpu" title="Permalink to this heading"></a></h2>
<p>Suppose you want to install the following wheel:</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>https://huggingface.co/csukuangfj/kaldifeat/resolve/main/windows-cpu/kaldifeat-1.25.4.dev20240725+cpu.torch2.4.0-cp312-cp312-win_amd64.whl
</pre></div>
</div>
<p>you can use one of the following methods:</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span><span class="c1"># method 1</span>
pip<span class="w"> </span>install<span class="w"> </span><span class="nv">torch</span><span class="o">==</span><span class="m">2</span>.4.0+cpu<span class="w"> </span>-f<span class="w"> </span>https://download.pytorch.org/whl/torch/
pip<span class="w"> </span>install<span class="w"> </span><span class="nv">kaldifeat</span><span class="o">==</span><span class="m">1</span>.25.4.dev20240725+cpu.torch2.4.0<span class="w"> </span>-f<span class="w"> </span>https://csukuangfj.github.io/kaldifeat/cpu.html
<span class="c1"># For users from China</span>
<span class="c1"># 中国国内用户，如果访问不了 huggingface, 请使用</span>
<span class="c1"># pip install kaldifeat==1.25.4.dev20240725+cpu.torch2.4.0 -f https://csukuangfj.github.io/kaldifeat/cpu-cn.html</span>
<span class="c1"># method 2</span>
pip<span class="w"> </span>install<span class="w"> </span><span class="nv">torch</span><span class="o">==</span><span class="m">2</span>.4.0+cpu<span class="w"> </span>-f<span class="w"> </span>https://download.pytorch.org/whl/torch/
wget<span class="w"> </span>https://huggingface.co/csukuangfj/kaldifeat/resolve/main/windows-cpu/kaldifeat-1.25.4.dev20240725+cpu.torch2.4.0-cp312-cp312-win_amd64.whl
<span class="c1"># For users from China</span>
<span class="c1"># 中国国内用户，如果访问不了 huggingface, 请使用</span>
<span class="c1"># wget https://hf-mirror.com/csukuangfj/kaldifeat/resolve/main/windows-cpu/kaldifeat-1.25.4.dev20240725+cpu.torch2.4.0-cp312-cp312-win_amd64.whl</span>
pip<span class="w"> </span>install<span class="w"> </span>./kaldifeat-1.25.4.dev20240725+cpu.torch2.4.0-cp312-cp312-win_amd64.whl
</pre></div>
</div>
</section>
<section id="macos-cpu">
<h2>macOS (CPU)<a class="headerlink" href="#macos-cpu" title="Permalink to this heading"></a></h2>
<p>Suppose you want to install the following wheel:</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>https://huggingface.co/csukuangfj/kaldifeat/resolve/main/macos/kaldifeat-1.25.4.dev20240725+cpu.torch2.4.0-cp311-cp311-macosx_11_0_arm64.whl
</pre></div>
</div>
<p>you can use one of the following methods:</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span><span class="c1"># method 1</span>
pip<span class="w"> </span>install<span class="w"> </span><span class="nv">torch</span><span class="o">==</span><span class="m">2</span>.4.0
pip<span class="w"> </span>install<span class="w"> </span><span class="nv">kaldifeat</span><span class="o">==</span><span class="m">1</span>.25.4.dev20240725+cpu.torch2.4.0<span class="w"> </span>-f<span class="w"> </span>https://csukuangfj.github.io/kaldifeat/cpu.html
<span class="c1"># For users from China</span>
<span class="c1"># 中国国内用户，如果访问不了 huggingface, 请使用</span>
<span class="c1"># pip install kaldifeat==1.25.4.dev20240725+cpu.torch2.4.0 -f https://csukuangfj.github.io/kaldifeat/cpu-cn.html</span>
<span class="c1"># method 2</span>
pip<span class="w"> </span>install<span class="w"> </span><span class="nv">torch</span><span class="o">==</span><span class="m">2</span>.4.0<span class="w"> </span>-f<span class="w"> </span>https://download.pytorch.org/whl/torch/
wget<span class="w"> </span>https://huggingface.co/csukuangfj/kaldifeat/resolve/main/macos/kaldifeat-1.25.4.dev20240725+cpu.torch2.4.0-cp311-cp311-macosx_11_0_arm64.whl
<span class="c1"># For users from China</span>
<span class="c1"># 中国国内用户，如果访问不了 huggingface, 请使用</span>
<span class="c1"># wget https://hf-mirror.com/csukuangfj/kaldifeat/resolve/main/macos/kaldifeat-1.25.4.dev20240725+cpu.torch2.4.0-cp311-cp311-macosx_11_0_arm64.whl</span>
pip<span class="w"> </span>install<span class="w"> </span>./kaldifeat-1.25.4.dev20240725+cpu.torch2.4.0-cp311-cp311-macosx_11_0_arm64.whl
</pre></div>
</div>
</section>
<section id="linux-cuda">
<h2>Linux (CUDA)<a class="headerlink" href="#linux-cuda" title="Permalink to this heading"></a></h2>
<p>Suppose you want to install the following wheel:</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>https://huggingface.co/csukuangfj/kaldifeat/resolve/main/ubuntu-cuda/kaldifeat-1.25.4.dev20240725+cuda12.4.torch2.4.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
</pre></div>
</div>
<p>you can use one of the following methods:</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span><span class="c1"># method 1</span>
pip<span class="w"> </span>install<span class="w"> </span><span class="nv">torch</span><span class="o">==</span><span class="m">2</span>.4.0+cu124<span class="w"> </span>-f<span class="w"> </span>https://download.pytorch.org/whl/torch/
pip<span class="w"> </span>install<span class="w"> </span><span class="nv">kaldifeat</span><span class="o">==</span><span class="m">1</span>.25.4.dev20240725+cuda12.4.torch2.4.0<span class="w"> </span>-f<span class="w"> </span>https://csukuangfj.github.io/kaldifeat/cuda.html
<span class="c1"># For users from China</span>
<span class="c1"># 中国国内用户，如果访问不了 huggingface, 请使用</span>
<span class="c1"># pip install kaldifeat==1.25.4.dev20240725+cuda12.4.torch2.4.0 -f https://csukuangfj.github.io/kaldifeat/cuda-cn.html</span>
<span class="c1"># method 2</span>
pip<span class="w"> </span>install<span class="w"> </span><span class="nv">torch</span><span class="o">==</span><span class="m">2</span>.4.0+cu124<span class="w"> </span>-f<span class="w"> </span>https://download.pytorch.org/whl/torch/
wget<span class="w"> </span>https://huggingface.co/csukuangfj/kaldifeat/resolve/main/ubuntu-cuda/kaldifeat-1.25.4.dev20240725+cuda12.4.torch2.4.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
<span class="c1"># For users from China</span>
<span class="c1"># 中国国内用户，如果访问不了 huggingface, 请使用</span>
<span class="c1"># wget https://hf-mirror.com/csukuangfj/kaldifeat/resolve/main/ubuntu-cuda/kaldifeat-1.25.4.dev20240725+cuda12.4.torch2.4.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl</span>
pip<span class="w"> </span>install<span class="w"> </span>./kaldifeat-1.25.4.dev20240725+cuda12.4.torch2.4.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
</pre></div>
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