# From pre-compiled wheels (Recommended) — kaldifeat 1.25.5 documentation

# From pre-compiled wheels (Recommended)

You can find pre-compiled wheels at

> - CPU wheels: https://csukuangfj.github.io/kaldifeat/cpu.html

> - CUDA wheels: https://csukuangfj.github.io/kaldifeat/cuda.html

We give a few examples below to show you how to install kaldifeat from pre-compiled wheels.

Hint

The following lists only some examples. We suggest that you always select the latest version of `kaldifeat`.

## Linux (CPU)

Suppose you want to install the following wheel:

    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:

    # method 1
    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.dev20240725+cpu.torch2.4.0 -f https://csukuangfj.github.io/kaldifeat/cpu-cn.html

    # method 2
    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.dev20240725+cpu.torch2.4.0-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)

Suppose you want to install the following wheel:

    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:

    # method 1
    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.dev20240725+cpu.torch2.4.0 -f https://csukuangfj.github.io/kaldifeat/cpu-cn.html

    # method 2
    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.dev20240725+cpu.torch2.4.0-cp312-cp312-win_amd64.whl

    pip install ./kaldifeat-1.25.4.dev20240725+cpu.torch2.4.0-cp312-cp312-win_amd64.whl

## macOS (CPU)

Suppose you want to install the following wheel:

    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:

    # method 1
    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.dev20240725+cpu.torch2.4.0 -f https://csukuangfj.github.io/kaldifeat/cpu-cn.html

    # method 2
    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.dev20240725+cpu.torch2.4.0-cp311-cp311-macosx_11_0_arm64.whl

    pip install ./kaldifeat-1.25.4.dev20240725+cpu.torch2.4.0-cp311-cp311-macosx_11_0_arm64.whl

## Linux (CUDA)

Suppose you want to install the following wheel:

    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:

    # method 1
    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.dev20240725+cuda12.4.torch2.4.0 -f https://csukuangfj.github.io/kaldifeat/cuda-cn.html

    # method 2
    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.dev20240725+cuda12.4.torch2.4.0-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