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update installation from wheels
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@ -5,3 +5,95 @@ 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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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/macos/kaldifeat-1.24.dev20230722+cpu.torch2.0.1-cp311-cp311-macosx_10_9_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==2.0.1+cpu -f https://download.pytorch.org/whl/torch_stable.html
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pip install kaldifeat==1.24.dev20230722+cpu.torch2.0.1 -f https://csukuangfj.github.io/kaldifeat/cpu.html
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# method 2
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pip install torch==2.0.1+cpu -f https://download.pytorch.org/whl/torch_stable.html
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wget https://huggingface.co/csukuangfj/kaldifeat/resolve/main/macos/kaldifeat-1.24.dev20230722+cpu.torch2.0.1-cp311-cp311-macosx_10_9_x86_64.whl
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pip install ./kaldifeat-1.24.dev20230722+cpu.torch2.0.1-cp311-cp311-macosx_10_9_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-1.24.dev20230722+cpu.torch2.0.1-cp311-cp311-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==2.0.1+cpu -f https://download.pytorch.org/whl/torch_stable.html
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pip install kaldifeat==1.24.dev20230722+cpu.torch2.0.1 -f https://csukuangfj.github.io/kaldifeat/cpu.html
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# method 2
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pip install torch==2.0.1+cpu -f https://download.pytorch.org/whl/torch_stable.html
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wget https://huggingface.co/csukuangfj/kaldifeat/resolve/main/windows-cpu/kaldifeat-1.24.dev20230722+cpu.torch2.0.1-cp311-cp311-win_amd64.whl
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pip install ./kaldifeat-1.24.dev20230722+cpu.torch2.0.1-cp311-cp311-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-1.24.dev20230722+cpu.torch2.0.1-cp311-cp311-macosx_10_9_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==2.0.1
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pip install kaldifeat==1.24.dev20230722+cpu.torch2.0.1 -f https://csukuangfj.github.io/kaldifeat/cpu.html
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# method 2
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pip install torch==2.0.1+cpu -f https://download.pytorch.org/whl/torch_stable.html
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wget https://huggingface.co/csukuangfj/kaldifeat/resolve/main/macos/kaldifeat-1.24.dev20230722+cpu.torch2.0.1-cp311-cp311-macosx_10_9_x86_64.whl
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pip install ./kaldifeat-1.24.dev20230722+cpu.torch2.0.1-cp311-cp311-macosx_10_9_x86_64.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-1.24.dev20230722+cuda11.8.torch2.0.1-cp311-cp311-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==2.0.1+cu118 -f https://download.pytorch.org/whl/torch_stable.html
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pip install kaldifeat==1.24.dev20230722+cuda11.8.torch2.0.1 -f https://csukuangfj.github.io/kaldifeat/cuda.html
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# method 2
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pip install torch==2.0.1+cu118 -f https://download.pytorch.org/whl/torch_stable.html
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wget https://huggingface.co/csukuangfj/kaldifeat/resolve/main/ubuntu-cuda/kaldifeat-1.24.dev20230722+cuda11.8.torch2.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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pip install ./kaldifeat-1.24.dev20230722+cuda11.8.torch2.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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@ -2,7 +2,7 @@ Installation
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============
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.. toctree::
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:maxdepth: 2
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:maxdepth: 3
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./from_wheels.rst
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./from_source.rst
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