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64
_sources/installation/from_wheels.rst.txt
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@ -21,29 +21,29 @@ Suppose you want to install the following wheel:
.. code-block:: bash
https://huggingface.co/csukuangfj/kaldifeat/resolve/main/ubuntu-cpu/kaldifeat-1.25.4.dev20240210+cpu.torch2.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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
you can use one of the following methods:
.. code-block:: bash
# method 1
pip install torch==2.2.0+cpu -f https://download.pytorch.org/whl/torch_stable.html
pip install kaldifeat==1.25.4.dev20240210+cpu.torch2.2.0 -f https://csukuangfj.github.io/kaldifeat/cpu.html
pip install torch==2.4.0+cpu -f https://download.pytorch.org/whl/torch/
pip install kaldifeat==1.25.4.dev20240725+cpu.torch2.4.0 -f https://csukuangfj.github.io/kaldifeat/cpu.html
# For users from China
# 中国国内用户，如果访问不了 huggingface, 请使用
# pip install kaldifeat==1.25.4.dev20240210+cpu.torch2.2.0 -f https://csukuangfj.github.io/kaldifeat/cpu-cn.html
# pip install kaldifeat==1.25.4.dev20240725+cpu.torch2.4.0 -f https://csukuangfj.github.io/kaldifeat/cpu-cn.html
# method 2
pip install torch==2.2.0+cpu -f https://download.pytorch.org/whl/torch_stable.html
wget https://huggingface.co/csukuangfj/kaldifeat/resolve/main/ubuntu-cpu/kaldifeat-1.25.4.dev20240210+cpu.torch2.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
pip install torch==2.4.0+cpu -f https://download.pytorch.org/whl/torch/
wget 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
# For users from China
# 中国国内用户，如果访问不了 huggingface, 请使用
# wget https://hf-mirror.com/csukuangfj/kaldifeat/resolve/main/ubuntu-cpu/kaldifeat-1.25.4.dev20240210+cpu.torch2.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
# 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
pip install ./kaldifeat-1.25.4.dev20240210+cpu.torch2.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
pip install ./kaldifeat-1.25.4.dev20240725+cpu.torch2.4.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Windows (CPU)
--------------
@ -52,29 +52,29 @@ Suppose you want to install the following wheel:
.. code-block:: bash
https://huggingface.co/csukuangfj/kaldifeat/resolve/main/windows-cpu/kaldifeat-1.25.4.dev20240210+cpu.torch2.2.0-cp312-cp312-win_amd64.whl
https://huggingface.co/csukuangfj/kaldifeat/resolve/main/windows-cpu/kaldifeat-1.25.4.dev20240725+cpu.torch2.4.0-cp312-cp312-win_amd64.whl
you can use one of the following methods:
.. code-block:: bash
# method 1
pip install torch==2.2.0+cpu -f https://download.pytorch.org/whl/torch_stable.html
pip install kaldifeat==1.25.4.dev20240210+cpu.torch2.2.0 -f https://csukuangfj.github.io/kaldifeat/cpu.html
pip install torch==2.4.0+cpu -f https://download.pytorch.org/whl/torch/
pip install kaldifeat==1.25.4.dev20240725+cpu.torch2.4.0 -f https://csukuangfj.github.io/kaldifeat/cpu.html
# For users from China
# 中国国内用户，如果访问不了 huggingface, 请使用
# pip install kaldifeat==1.25.4.dev20240210+cpu.torch2.2.0 -f https://csukuangfj.github.io/kaldifeat/cpu-cn.html
# pip install kaldifeat==1.25.4.dev20240725+cpu.torch2.4.0 -f https://csukuangfj.github.io/kaldifeat/cpu-cn.html
# method 2
pip install torch==2.2.0+cpu -f https://download.pytorch.org/whl/torch_stable.html
wget https://huggingface.co/csukuangfj/kaldifeat/resolve/main/windows-cpu/kaldifeat-1.25.4.dev20240210+cpu.torch2.2.0-cp312-cp312-win_amd64.whl
pip install torch==2.4.0+cpu -f https://download.pytorch.org/whl/torch/
wget https://huggingface.co/csukuangfj/kaldifeat/resolve/main/windows-cpu/kaldifeat-1.25.4.dev20240725+cpu.torch2.4.0-cp312-cp312-win_amd64.whl
# For users from China
# 中国国内用户，如果访问不了 huggingface, 请使用
# wget https://hf-mirror.com/csukuangfj/kaldifeat/resolve/main/windows-cpu/kaldifeat-1.25.4.dev20240210+cpu.torch2.2.0-cp312-cp312-win_amd64.whl
# 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
pip install ./kaldifeat-1.25.4.dev20240210+cpu.torch2.2.0-cp312-cp312-win_amd64.whl
pip install ./kaldifeat-1.25.4.dev20240725+cpu.torch2.4.0-cp312-cp312-win_amd64.whl
macOS (CPU)
-----------
@ -83,29 +83,29 @@ Suppose you want to install the following wheel:
.. code-block:: bash
https://huggingface.co/csukuangfj/kaldifeat/resolve/main/macos/kaldifeat-1.25.4.dev20240210+cpu.torch2.2.0-cp312-cp312-macosx_12_0_universal2.whl
https://huggingface.co/csukuangfj/kaldifeat/resolve/main/macos/kaldifeat-1.25.4.dev20240725+cpu.torch2.4.0-cp311-cp311-macosx_11_0_arm64.whl
you can use one of the following methods:
.. code-block:: bash
# method 1
pip install torch==2.2.0
pip install kaldifeat==1.25.4.dev20240210+cpu.torch2.2.0 -f https://csukuangfj.github.io/kaldifeat/cpu.html
pip install torch==2.4.0
pip install kaldifeat==1.25.4.dev20240725+cpu.torch2.4.0 -f https://csukuangfj.github.io/kaldifeat/cpu.html
# For users from China
# 中国国内用户，如果访问不了 huggingface, 请使用
# pip install kaldifeat==1.25.4.dev20240210+cpu.torch2.2.0 -f https://csukuangfj.github.io/kaldifeat/cpu-cn.html
# pip install kaldifeat==1.25.4.dev20240725+cpu.torch2.4.0 -f https://csukuangfj.github.io/kaldifeat/cpu-cn.html
# method 2
pip install torch==2.2.0 -f https://download.pytorch.org/whl/torch_stable.html
wget https://huggingface.co/csukuangfj/kaldifeat/resolve/main/macos/kaldifeat-1.25.4.dev20240210+cpu.torch2.2.0-cp312-cp312-macosx_12_0_universal2.whl
pip install torch==2.4.0 -f https://download.pytorch.org/whl/torch/
wget https://huggingface.co/csukuangfj/kaldifeat/resolve/main/macos/kaldifeat-1.25.4.dev20240725+cpu.torch2.4.0-cp311-cp311-macosx_11_0_arm64.whl
# For users from China
# 中国国内用户，如果访问不了 huggingface, 请使用
# wget https://hf-mirror.com/csukuangfj/kaldifeat/resolve/main/macos/kaldifeat-1.25.4.dev20240210+cpu.torch2.2.0-cp312-cp312-macosx_12_0_universal2.whl
# 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
pip install ./kaldifeat-1.25.4.dev20240210+cpu.torch2.2.0-cp312-cp312-macosx_12_0_universal2.whl
pip install ./kaldifeat-1.25.4.dev20240725+cpu.torch2.4.0-cp311-cp311-macosx_11_0_arm64.whl
Linux (CUDA)
------------
@ -114,26 +114,26 @@ Suppose you want to install the following wheel:
.. code-block:: bash
https://huggingface.co/csukuangfj/kaldifeat/resolve/main/ubuntu-cuda/kaldifeat-1.25.4.dev20240210+cuda12.1.torch2.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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
you can use one of the following methods:
.. code-block:: bash
# method 1
pip install torch==2.2.0+cu121 -f https://download.pytorch.org/whl/torch_stable.html
pip install kaldifeat==1.25.4.dev20240210+cuda12.1.torch2.2.0 -f https://csukuangfj.github.io/kaldifeat/cuda.html
pip install torch==2.4.0+cu124 -f https://download.pytorch.org/whl/torch/
pip install kaldifeat==1.25.4.dev20240725+cuda12.4.torch2.4.0 -f https://csukuangfj.github.io/kaldifeat/cuda.html
# For users from China
# 中国国内用户，如果访问不了 huggingface, 请使用
# pip install kaldifeat==1.25.4.dev20240210+cuda12.1.torch2.2.0 -f https://csukuangfj.github.io/kaldifeat/cuda-cn.html
# pip install kaldifeat==1.25.4.dev20240725+cuda12.4.torch2.4.0 -f https://csukuangfj.github.io/kaldifeat/cuda-cn.html
# method 2
pip install torch==2.2.0+cu121 -f https://download.pytorch.org/whl/torch_stable.html
wget https://huggingface.co/csukuangfj/kaldifeat/resolve/main/ubuntu-cuda/kaldifeat-1.25.4.dev20240210+cuda12.1.torch2.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
pip install torch==2.4.0+cu124 -f https://download.pytorch.org/whl/torch/
wget 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
# For users from China
# 中国国内用户，如果访问不了 huggingface, 请使用
# wget https://hf-mirror.com/csukuangfj/kaldifeat/resolve/main/ubuntu-cuda/kaldifeat-1.25.4.dev20240210+cuda12.1.torch2.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
# 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
pip install ./kaldifeat-1.25.4.dev20240210+cuda12.1.torch2.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
pip install ./kaldifeat-1.25.4.dev20240725+cuda12.4.torch2.4.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

64
installation/from_wheels.html
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@ -109,108 +109,108 @@ latest version of <code class="docutils literal notranslate"><span class="pre">k
<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.dev20240210+cpu.torch2.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
<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>.2.0+cpu<span class="w"> </span>-f<span class="w"> </span>https://download.pytorch.org/whl/torch_stable.html
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.dev20240210+cpu.torch2.2.0<span class="w"> </span>-f<span class="w"> </span>https://csukuangfj.github.io/kaldifeat/cpu.html
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.dev20240210+cpu.torch2.2.0 -f https://csukuangfj.github.io/kaldifeat/cpu-cn.html</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>.2.0+cpu<span class="w"> </span>-f<span class="w"> </span>https://download.pytorch.org/whl/torch_stable.html
wget<span class="w"> </span>https://huggingface.co/csukuangfj/kaldifeat/resolve/main/ubuntu-cpu/kaldifeat-1.25.4.dev20240210+cpu.torch2.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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.dev20240210+cpu.torch2.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl</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.dev20240210+cpu.torch2.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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.dev20240210+cpu.torch2.2.0-cp312-cp312-win_amd64.whl
<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>.2.0+cpu<span class="w"> </span>-f<span class="w"> </span>https://download.pytorch.org/whl/torch_stable.html
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.dev20240210+cpu.torch2.2.0<span class="w"> </span>-f<span class="w"> </span>https://csukuangfj.github.io/kaldifeat/cpu.html
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.dev20240210+cpu.torch2.2.0 -f https://csukuangfj.github.io/kaldifeat/cpu-cn.html</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>.2.0+cpu<span class="w"> </span>-f<span class="w"> </span>https://download.pytorch.org/whl/torch_stable.html
wget<span class="w"> </span>https://huggingface.co/csukuangfj/kaldifeat/resolve/main/windows-cpu/kaldifeat-1.25.4.dev20240210+cpu.torch2.2.0-cp312-cp312-win_amd64.whl
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.dev20240210+cpu.torch2.2.0-cp312-cp312-win_amd64.whl</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.dev20240210+cpu.torch2.2.0-cp312-cp312-win_amd64.whl
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.dev20240210+cpu.torch2.2.0-cp312-cp312-macosx_12_0_universal2.whl
<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>.2.0
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.dev20240210+cpu.torch2.2.0<span class="w"> </span>-f<span class="w"> </span>https://csukuangfj.github.io/kaldifeat/cpu.html
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.dev20240210+cpu.torch2.2.0 -f https://csukuangfj.github.io/kaldifeat/cpu-cn.html</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>.2.0<span class="w"> </span>-f<span class="w"> </span>https://download.pytorch.org/whl/torch_stable.html
wget<span class="w"> </span>https://huggingface.co/csukuangfj/kaldifeat/resolve/main/macos/kaldifeat-1.25.4.dev20240210+cpu.torch2.2.0-cp312-cp312-macosx_12_0_universal2.whl
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.dev20240210+cpu.torch2.2.0-cp312-cp312-macosx_12_0_universal2.whl</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.dev20240210+cpu.torch2.2.0-cp312-cp312-macosx_12_0_universal2.whl
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.dev20240210+cuda12.1.torch2.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
<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>.2.0+cu121<span class="w"> </span>-f<span class="w"> </span>https://download.pytorch.org/whl/torch_stable.html
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.dev20240210+cuda12.1.torch2.2.0<span class="w"> </span>-f<span class="w"> </span>https://csukuangfj.github.io/kaldifeat/cuda.html
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.dev20240210+cuda12.1.torch2.2.0 -f https://csukuangfj.github.io/kaldifeat/cuda-cn.html</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>.2.0+cu121<span class="w"> </span>-f<span class="w"> </span>https://download.pytorch.org/whl/torch_stable.html
wget<span class="w"> </span>https://huggingface.co/csukuangfj/kaldifeat/resolve/main/ubuntu-cuda/kaldifeat-1.25.4.dev20240210+cuda12.1.torch2.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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.dev20240210+cuda12.1.torch2.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl</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.dev20240210+cuda12.1.torch2.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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>
</div>
</section>

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