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_sources/installation/from_wheels.rst.txt
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@ -9,6 +9,11 @@ You can find pre-compiled wheels at
We give a few examples below to show you how to install `kaldifeat`_ from We give a few examples below to show you how to install `kaldifeat`_ from
pre-compiled wheels. pre-compiled wheels.
.. hint::
The following lists only some examples. We suggest that you always select the
latest version of ``kaldifeat``.
Linux (CPU) Linux (CPU)
----------- -----------
@ -26,11 +31,19 @@ you can use one of the following methods:
pip install torch==2.2.0+cpu -f https://download.pytorch.org/whl/torch_stable.html 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 kaldifeat==1.25.4.dev20240210+cpu.torch2.2.0 -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
# method 2 # method 2
pip install torch==2.2.0+cpu -f https://download.pytorch.org/whl/torch_stable.html 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 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 ./kaldifeat-1.25.4.dev20240210+cpu.torch2.2.0-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
pip install ./kaldifeat-1.25.4.dev20240210+cpu.torch2.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Windows (CPU) Windows (CPU)
-------------- --------------
@ -49,9 +62,18 @@ you can use one of the following methods:
pip install torch==2.2.0+cpu -f https://download.pytorch.org/whl/torch_stable.html 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 kaldifeat==1.25.4.dev20240210+cpu.torch2.2.0 -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
# method 2 # method 2
pip install torch==2.2.0+cpu -f https://download.pytorch.org/whl/torch_stable.html 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 wget https://huggingface.co/csukuangfj/kaldifeat/resolve/main/windows-cpu/kaldifeat-1.25.4.dev20240210+cpu.torch2.2.0-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
pip install ./kaldifeat-1.25.4.dev20240210+cpu.torch2.2.0-cp312-cp312-win_amd64.whl pip install ./kaldifeat-1.25.4.dev20240210+cpu.torch2.2.0-cp312-cp312-win_amd64.whl
macOS (CPU) macOS (CPU)
@ -71,9 +93,18 @@ you can use one of the following methods:
pip install torch==2.2.0 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 kaldifeat==1.25.4.dev20240210+cpu.torch2.2.0 -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
# method 2 # method 2
pip install torch==2.2.0 -f https://download.pytorch.org/whl/torch_stable.html 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 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
# 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
pip install ./kaldifeat-1.25.4.dev20240210+cpu.torch2.2.0-cp312-cp312-macosx_12_0_universal2.whl pip install ./kaldifeat-1.25.4.dev20240210+cpu.torch2.2.0-cp312-cp312-macosx_12_0_universal2.whl
Linux (CUDA) Linux (CUDA)
@ -93,7 +124,16 @@ you can use one of the following methods:
pip install torch==2.2.0+cu121 -f https://download.pytorch.org/whl/torch_stable.html 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 kaldifeat==1.25.4.dev20240210+cuda12.1.torch2.2.0 -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
# method 2 # method 2
pip install torch==2.2.0+cu121 -f https://download.pytorch.org/whl/torch_stable.html 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 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
# 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
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.dev20240210+cuda12.1.torch2.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

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<a href="https://huggingface.co/csukuangfj/kaldifeat/resolve/main/macos/kaldifeat-1.25.4.dev20240606+cpu.torch2.3.1-cp312-cp312-macosx_11_0_arm64.whl">kaldifeat-1.25.4.dev20240606+cpu.torch2.3.1-cp312-cp312-macosx_11_0_arm64.whl</a><br/>
<a href="https://huggingface.co/csukuangfj/kaldifeat/resolve/main/ubuntu-cpu/kaldifeat-1.25.4.dev20240606+cpu.torch2.3.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl">kaldifeat-1.25.4.dev20240606+cpu.torch2.3.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl</a><br/>
<a href="https://huggingface.co/csukuangfj/kaldifeat/resolve/main/windows-cpu/kaldifeat-1.25.4.dev20240606+cpu.torch2.3.1-cp312-cp312-win_amd64.whl">kaldifeat-1.25.4.dev20240606+cpu.torch2.3.1-cp312-cp312-win_amd64.whl</a><br/>
<a href="https://huggingface.co/csukuangfj/kaldifeat/resolve/main/macos/kaldifeat-1.25.4.dev20240606+cpu.torch2.3.1-cp311-cp311-macosx_11_0_arm64.whl">kaldifeat-1.25.4.dev20240606+cpu.torch2.3.1-cp311-cp311-macosx_11_0_arm64.whl</a><br/>
<a href="https://huggingface.co/csukuangfj/kaldifeat/resolve/main/ubuntu-cpu/kaldifeat-1.25.4.dev20240606+cpu.torch2.3.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl">kaldifeat-1.25.4.dev20240606+cpu.torch2.3.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl</a><br/>
<a href="https://huggingface.co/csukuangfj/kaldifeat/resolve/main/windows-cpu/kaldifeat-1.25.4.dev20240606+cpu.torch2.3.1-cp311-cp311-win_amd64.whl">kaldifeat-1.25.4.dev20240606+cpu.torch2.3.1-cp311-cp311-win_amd64.whl</a><br/>
<a href="https://huggingface.co/csukuangfj/kaldifeat/resolve/main/macos/kaldifeat-1.25.4.dev20240606+cpu.torch2.3.1-cp310-cp310-macosx_11_0_arm64.whl">kaldifeat-1.25.4.dev20240606+cpu.torch2.3.1-cp310-cp310-macosx_11_0_arm64.whl</a><br/>
<a href="https://huggingface.co/csukuangfj/kaldifeat/resolve/main/ubuntu-cpu/kaldifeat-1.25.4.dev20240606+cpu.torch2.3.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl">kaldifeat-1.25.4.dev20240606+cpu.torch2.3.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl</a><br/>
<a href="https://huggingface.co/csukuangfj/kaldifeat/resolve/main/windows-cpu/kaldifeat-1.25.4.dev20240606+cpu.torch2.3.1-cp310-cp310-win_amd64.whl">kaldifeat-1.25.4.dev20240606+cpu.torch2.3.1-cp310-cp310-win_amd64.whl</a><br/>
<a href="https://huggingface.co/csukuangfj/kaldifeat/resolve/main/ubuntu-cpu/kaldifeat-1.25.4.dev20240606+cpu.torch2.3.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl">kaldifeat-1.25.4.dev20240606+cpu.torch2.3.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl</a><br/>
<a href="https://huggingface.co/csukuangfj/kaldifeat/resolve/main/windows-cpu/kaldifeat-1.25.4.dev20240606+cpu.torch2.3.1-cp39-cp39-win_amd64.whl">kaldifeat-1.25.4.dev20240606+cpu.torch2.3.1-cp39-cp39-win_amd64.whl</a><br/>
<a href="https://huggingface.co/csukuangfj/kaldifeat/resolve/main/ubuntu-cpu/kaldifeat-1.25.4.dev20240606+cpu.torch2.3.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl">kaldifeat-1.25.4.dev20240606+cpu.torch2.3.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl</a><br/>
<a href="https://huggingface.co/csukuangfj/kaldifeat/resolve/main/windows-cpu/kaldifeat-1.25.4.dev20240606+cpu.torch2.3.1-cp38-cp38-win_amd64.whl">kaldifeat-1.25.4.dev20240606+cpu.torch2.3.1-cp38-cp38-win_amd64.whl</a><br/>
<a href="https://huggingface.co/csukuangfj/kaldifeat/resolve/main/macos/kaldifeat-1.25.4.dev20240425+cpu.torch2.3.0-cp312-cp312-macosx_11_0_arm64.whl">kaldifeat-1.25.4.dev20240425+cpu.torch2.3.0-cp312-cp312-macosx_11_0_arm64.whl</a><br/> <a href="https://huggingface.co/csukuangfj/kaldifeat/resolve/main/macos/kaldifeat-1.25.4.dev20240425+cpu.torch2.3.0-cp312-cp312-macosx_11_0_arm64.whl">kaldifeat-1.25.4.dev20240425+cpu.torch2.3.0-cp312-cp312-macosx_11_0_arm64.whl</a><br/>
<a href="https://huggingface.co/csukuangfj/kaldifeat/resolve/main/ubuntu-cpu/kaldifeat-1.25.4.dev20240425+cpu.torch2.3.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl">kaldifeat-1.25.4.dev20240425+cpu.torch2.3.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl</a><br/> <a href="https://huggingface.co/csukuangfj/kaldifeat/resolve/main/ubuntu-cpu/kaldifeat-1.25.4.dev20240425+cpu.torch2.3.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl">kaldifeat-1.25.4.dev20240425+cpu.torch2.3.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl</a><br/>
<a href="https://huggingface.co/csukuangfj/kaldifeat/resolve/main/windows-cpu/kaldifeat-1.25.4.dev20240425+cpu.torch2.3.0-cp312-cp312-win_amd64.whl">kaldifeat-1.25.4.dev20240425+cpu.torch2.3.0-cp312-cp312-win_amd64.whl</a><br/> <a href="https://huggingface.co/csukuangfj/kaldifeat/resolve/main/windows-cpu/kaldifeat-1.25.4.dev20240425+cpu.torch2.3.0-cp312-cp312-win_amd64.whl">kaldifeat-1.25.4.dev20240425+cpu.torch2.3.0-cp312-cp312-win_amd64.whl</a><br/>

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<a href="https://huggingface.co/csukuangfj/kaldifeat/resolve/main/ubuntu-cuda/kaldifeat-1.25.4.dev20240606+cuda12.1.torch2.3.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl">kaldifeat-1.25.4.dev20240606+cuda12.1.torch2.3.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl</a><br/>
<a href="https://huggingface.co/csukuangfj/kaldifeat/resolve/main/ubuntu-cuda/kaldifeat-1.25.4.dev20240606+cuda12.1.torch2.3.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl">kaldifeat-1.25.4.dev20240606+cuda12.1.torch2.3.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl</a><br/>
<a href="https://huggingface.co/csukuangfj/kaldifeat/resolve/main/ubuntu-cuda/kaldifeat-1.25.4.dev20240606+cuda12.1.torch2.3.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl">kaldifeat-1.25.4.dev20240606+cuda12.1.torch2.3.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl</a><br/>
<a href="https://huggingface.co/csukuangfj/kaldifeat/resolve/main/ubuntu-cuda/kaldifeat-1.25.4.dev20240606+cuda12.1.torch2.3.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl">kaldifeat-1.25.4.dev20240606+cuda12.1.torch2.3.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl</a><br/>
<a href="https://huggingface.co/csukuangfj/kaldifeat/resolve/main/ubuntu-cuda/kaldifeat-1.25.4.dev20240606+cuda12.1.torch2.3.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl">kaldifeat-1.25.4.dev20240606+cuda12.1.torch2.3.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl</a><br/>
<a href="https://huggingface.co/csukuangfj/kaldifeat/resolve/main/ubuntu-cuda/kaldifeat-1.25.4.dev20240606+cuda11.8.torch2.3.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl">kaldifeat-1.25.4.dev20240606+cuda11.8.torch2.3.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl</a><br/>
<a href="https://huggingface.co/csukuangfj/kaldifeat/resolve/main/ubuntu-cuda/kaldifeat-1.25.4.dev20240606+cuda11.8.torch2.3.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl">kaldifeat-1.25.4.dev20240606+cuda11.8.torch2.3.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl</a><br/>
<a href="https://huggingface.co/csukuangfj/kaldifeat/resolve/main/ubuntu-cuda/kaldifeat-1.25.4.dev20240606+cuda11.8.torch2.3.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl">kaldifeat-1.25.4.dev20240606+cuda11.8.torch2.3.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl</a><br/>
<a href="https://huggingface.co/csukuangfj/kaldifeat/resolve/main/ubuntu-cuda/kaldifeat-1.25.4.dev20240606+cuda11.8.torch2.3.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl">kaldifeat-1.25.4.dev20240606+cuda11.8.torch2.3.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl</a><br/>
<a href="https://huggingface.co/csukuangfj/kaldifeat/resolve/main/ubuntu-cuda/kaldifeat-1.25.4.dev20240606+cuda11.8.torch2.3.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl">kaldifeat-1.25.4.dev20240606+cuda11.8.torch2.3.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl</a><br/>
<a href="https://huggingface.co/csukuangfj/kaldifeat/resolve/main/ubuntu-cuda/kaldifeat-1.25.4.dev20240425+cuda12.1.torch2.3.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl">kaldifeat-1.25.4.dev20240425+cuda12.1.torch2.3.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl</a><br/> <a href="https://huggingface.co/csukuangfj/kaldifeat/resolve/main/ubuntu-cuda/kaldifeat-1.25.4.dev20240425+cuda12.1.torch2.3.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl">kaldifeat-1.25.4.dev20240425+cuda12.1.torch2.3.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl</a><br/>
<a href="https://huggingface.co/csukuangfj/kaldifeat/resolve/main/ubuntu-cuda/kaldifeat-1.25.4.dev20240425+cuda12.1.torch2.3.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl">kaldifeat-1.25.4.dev20240425+cuda12.1.torch2.3.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl</a><br/> <a href="https://huggingface.co/csukuangfj/kaldifeat/resolve/main/ubuntu-cuda/kaldifeat-1.25.4.dev20240425+cuda12.1.torch2.3.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl">kaldifeat-1.25.4.dev20240425+cuda12.1.torch2.3.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl</a><br/>
<a href="https://huggingface.co/csukuangfj/kaldifeat/resolve/main/ubuntu-cuda/kaldifeat-1.25.4.dev20240425+cuda12.1.torch2.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl">kaldifeat-1.25.4.dev20240425+cuda12.1.torch2.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl</a><br/> <a href="https://huggingface.co/csukuangfj/kaldifeat/resolve/main/ubuntu-cuda/kaldifeat-1.25.4.dev20240425+cuda12.1.torch2.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl">kaldifeat-1.25.4.dev20240425+cuda12.1.torch2.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl</a><br/>

41
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@ -101,6 +101,11 @@
</div></blockquote> </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 <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> 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"> <section id="linux-cpu">
<h2>Linux (CPU)<a class="headerlink" href="#linux-cpu" title="Permalink to this heading"></a></h2> <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> <p>Suppose you want to install the following wheel:</p>
@ -112,9 +117,18 @@ pre-compiled wheels.</p>
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">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">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
<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"># method 2</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 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 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
<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>
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.dev20240210+cpu.torch2.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
</pre></div> </pre></div>
</div> </div>
@ -130,9 +144,18 @@ pip<span class="w"> </span>install<span class="w"> </span>./kaldifeat-1.25.4.dev
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">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">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
<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"># method 2</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 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 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
<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>
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.dev20240210+cpu.torch2.2.0-cp312-cp312-win_amd64.whl
</pre></div> </pre></div>
</div> </div>
@ -148,9 +171,18 @@ pip<span class="w"> </span>install<span class="w"> </span>./kaldifeat-1.25.4.dev
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">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">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
<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"># method 2</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 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 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
<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>
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.dev20240210+cpu.torch2.2.0-cp312-cp312-macosx_12_0_universal2.whl
</pre></div> </pre></div>
</div> </div>
@ -166,9 +198,18 @@ pip<span class="w"> </span>install<span class="w"> </span>./kaldifeat-1.25.4.dev
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">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">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
<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"># method 2</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 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 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
<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>
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.dev20240210+cuda12.1.torch2.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
</pre></div> </pre></div>
</div> </div>

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