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Fangjun Kuang 2024-07-25 15:16:05 +08:00
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doc/source/installation/from_wheels.rst
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@ -21,29 +21,29 @@ Suppose you want to install the following wheel:
.. code-block:: bash .. 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: you can use one of the following methods:
.. code-block:: bash .. code-block:: bash
# method 1 # method 1
pip install torch==2.2.0+cpu -f https://download.pytorch.org/whl/torch/ pip install torch==2.4.0+cpu -f https://download.pytorch.org/whl/torch/
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.dev20240725+cpu.torch2.4.0 -f https://csukuangfj.github.io/kaldifeat/cpu.html
# For users from China # For users from China
# 中国国内用户，如果访问不了 huggingface, 请使用 # 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 # method 2
pip install torch==2.2.0+cpu -f https://download.pytorch.org/whl/torch/ 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.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.dev20240725+cpu.torch2.4.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
# For users from China # For users from China
# 中国国内用户，如果访问不了 huggingface, 请使用 # 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) Windows (CPU)
-------------- --------------
@ -52,29 +52,29 @@ Suppose you want to install the following wheel:
.. code-block:: bash .. 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: you can use one of the following methods:
.. code-block:: bash .. code-block:: bash
# method 1 # method 1
pip install torch==2.2.0+cpu -f https://download.pytorch.org/whl/torch/ https://download.pytorch.org/whl/torch/ pip install torch==2.4.0+cpu -f https://download.pytorch.org/whl/torch/
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.dev20240725+cpu.torch2.4.0 -f https://csukuangfj.github.io/kaldifeat/cpu.html
# For users from China # For users from China
# 中国国内用户，如果访问不了 huggingface, 请使用 # 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 # method 2
pip install torch==2.2.0+cpu -f https://download.pytorch.org/whl/torch/ https://download.pytorch.org/whl/torch/ 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.dev20240210+cpu.torch2.2.0-cp312-cp312-win_amd64.whl 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 # For users from China
# 中国国内用户，如果访问不了 huggingface, 请使用 # 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) macOS (CPU)
----------- -----------
@ -83,29 +83,29 @@ Suppose you want to install the following wheel:
.. code-block:: bash .. 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: you can use one of the following methods:
.. code-block:: bash .. code-block:: bash
# method 1 # method 1
pip install torch==2.2.0 pip install torch==2.4.0
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.dev20240725+cpu.torch2.4.0 -f https://csukuangfj.github.io/kaldifeat/cpu.html
# For users from China # For users from China
# 中国国内用户，如果访问不了 huggingface, 请使用 # 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 # method 2
pip install torch==2.2.0 -f https://download.pytorch.org/whl/torch/ 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.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.dev20240725+cpu.torch2.4.0-cp311-cp311-macosx_11_0_arm64.whl
# For users from China # For users from China
# 中国国内用户，如果访问不了 huggingface, 请使用 # 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) Linux (CUDA)
------------ ------------
@ -114,26 +114,26 @@ Suppose you want to install the following wheel:
.. code-block:: bash .. 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: you can use one of the following methods:
.. code-block:: bash .. code-block:: bash
# method 1 # method 1
pip install torch==2.2.0+cu121 -f https://download.pytorch.org/whl/torch/ pip install torch==2.4.0+cu124 -f https://download.pytorch.org/whl/torch/
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.dev20240725+cuda12.4.torch2.4.0 -f https://csukuangfj.github.io/kaldifeat/cuda.html
# For users from China # For users from China
# 中国国内用户，如果访问不了 huggingface, 请使用 # 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 # method 2
pip install torch==2.2.0+cu121 -f https://download.pytorch.org/whl/torch/ 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.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.dev20240725+cuda12.4.torch2.4.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
# For users from China # For users from China
# 中国国内用户，如果访问不了 huggingface, 请使用 # 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