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