mirror of
https://github.com/csukuangfj/kaldifeat.git
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140 lines
5.8 KiB
ReStructuredText
140 lines
5.8 KiB
ReStructuredText
From pre-compiled wheels (Recommended)
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=======================================
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You can find pre-compiled wheels at
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- CPU wheels: `<https://csukuangfj.github.io/kaldifeat/cpu.html>`_
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- CUDA wheels: `<https://csukuangfj.github.io/kaldifeat/cuda.html>`_
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We give a few examples below to show you how to install `kaldifeat`_ from
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pre-compiled wheels.
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.. hint::
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The following lists only some examples. We suggest that you always select the
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latest version of ``kaldifeat``.
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Linux (CPU)
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-----------
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Suppose you want to install the following wheel:
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.. code-block:: bash
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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
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you can use one of the following methods:
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.. code-block:: bash
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# method 1
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pip install torch==2.4.0+cpu -f https://download.pytorch.org/whl/torch/
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pip install kaldifeat==1.25.4.dev20240725+cpu.torch2.4.0 -f https://csukuangfj.github.io/kaldifeat/cpu.html
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# For users from China
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# 中国国内用户，如果访问不了 huggingface, 请使用
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# pip install kaldifeat==1.25.4.dev20240725+cpu.torch2.4.0 -f https://csukuangfj.github.io/kaldifeat/cpu-cn.html
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# method 2
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pip install torch==2.4.0+cpu -f https://download.pytorch.org/whl/torch/
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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
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# For users from China
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# 中国国内用户，如果访问不了 huggingface, 请使用
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# 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
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pip install ./kaldifeat-1.25.4.dev20240725+cpu.torch2.4.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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Windows (CPU)
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--------------
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Suppose you want to install the following wheel:
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.. code-block:: bash
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https://huggingface.co/csukuangfj/kaldifeat/resolve/main/windows-cpu/kaldifeat-1.25.4.dev20240725+cpu.torch2.4.0-cp312-cp312-win_amd64.whl
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you can use one of the following methods:
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.. code-block:: bash
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# method 1
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pip install torch==2.4.0+cpu -f https://download.pytorch.org/whl/torch/
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pip install kaldifeat==1.25.4.dev20240725+cpu.torch2.4.0 -f https://csukuangfj.github.io/kaldifeat/cpu.html
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# For users from China
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# 中国国内用户，如果访问不了 huggingface, 请使用
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# pip install kaldifeat==1.25.4.dev20240725+cpu.torch2.4.0 -f https://csukuangfj.github.io/kaldifeat/cpu-cn.html
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# method 2
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pip install torch==2.4.0+cpu -f https://download.pytorch.org/whl/torch/
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wget https://huggingface.co/csukuangfj/kaldifeat/resolve/main/windows-cpu/kaldifeat-1.25.4.dev20240725+cpu.torch2.4.0-cp312-cp312-win_amd64.whl
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# For users from China
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# 中国国内用户，如果访问不了 huggingface, 请使用
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# 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
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pip install ./kaldifeat-1.25.4.dev20240725+cpu.torch2.4.0-cp312-cp312-win_amd64.whl
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macOS (CPU)
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-----------
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Suppose you want to install the following wheel:
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.. code-block:: bash
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https://huggingface.co/csukuangfj/kaldifeat/resolve/main/macos/kaldifeat-1.25.4.dev20240725+cpu.torch2.4.0-cp311-cp311-macosx_11_0_arm64.whl
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you can use one of the following methods:
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.. code-block:: bash
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# method 1
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pip install torch==2.4.0
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pip install kaldifeat==1.25.4.dev20240725+cpu.torch2.4.0 -f https://csukuangfj.github.io/kaldifeat/cpu.html
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# For users from China
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# 中国国内用户，如果访问不了 huggingface, 请使用
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# pip install kaldifeat==1.25.4.dev20240725+cpu.torch2.4.0 -f https://csukuangfj.github.io/kaldifeat/cpu-cn.html
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# method 2
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pip install torch==2.4.0 -f https://download.pytorch.org/whl/torch/
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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
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# For users from China
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# 中国国内用户，如果访问不了 huggingface, 请使用
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# 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
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pip install ./kaldifeat-1.25.4.dev20240725+cpu.torch2.4.0-cp311-cp311-macosx_11_0_arm64.whl
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Linux (CUDA)
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------------
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Suppose you want to install the following wheel:
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.. code-block:: bash
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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
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you can use one of the following methods:
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.. code-block:: bash
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# method 1
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pip install torch==2.4.0+cu124 -f https://download.pytorch.org/whl/torch/
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pip install kaldifeat==1.25.4.dev20240725+cuda12.4.torch2.4.0 -f https://csukuangfj.github.io/kaldifeat/cuda.html
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# For users from China
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# 中国国内用户，如果访问不了 huggingface, 请使用
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# pip install kaldifeat==1.25.4.dev20240725+cuda12.4.torch2.4.0 -f https://csukuangfj.github.io/kaldifeat/cuda-cn.html
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# method 2
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pip install torch==2.4.0+cu124 -f https://download.pytorch.org/whl/torch/
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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
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# For users from China
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# 中国国内用户，如果访问不了 huggingface, 请使用
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# 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
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pip install ./kaldifeat-1.25.4.dev20240725+cuda12.4.torch2.4.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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