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update install doc for Chinese users

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This commit is contained in:
Fangjun Kuang 2024-06-06 10:36:16 +08:00
parent 2efc89738d
commit 6902b23790
3 changed files with 46 additions and 1 deletions
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3
.github/workflows/build-doc.yml vendored
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@ -54,6 +54,7 @@ jobs:
ls -lh $KALDIFEAT_DIR
export GIT_LFS_SKIP_SMUDGE=1
export GIT_CLONE_PROTECTION_ACTIVE=false
git clone https://huggingface.co/csukuangfj/kaldifeat huggingface
cd huggingface
@ -68,6 +69,8 @@ jobs:
make html
cp source/cpu.html build/html/
cp source/cuda.html build/html/
cp source/cpu-cn.html build/html/
cp source/cuda-cn.html build/html/
touch build/html/.nojekyll
- name: Deploy

2
.gitignore vendored
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@ -6,3 +6,5 @@ __pycache__/
test-1hour.wav
path.sh
torch_version.py
cpu*.html
cuda*.html

42
doc/source/installation/from_wheels.rst
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@ -9,6 +9,11 @@ You can find pre-compiled wheels at
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)
-----------
@ -26,11 +31,19 @@ you can use one of the following methods:
pip install torch==2.2.0+cpu -f https://download.pytorch.org/whl/torch_stable.html
pip install kaldifeat==1.25.4.dev20240210+cpu.torch2.2.0 -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.dev20240210+cpu.torch2.2.0 -f https://csukuangfj.github.io/kaldifeat/cpu-cn.html
# method 2
pip install torch==2.2.0+cpu -f https://download.pytorch.org/whl/torch_stable.html
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
pip install ./kaldifeat-1.25.4.dev20240210+cpu.torch2.2.0-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.dev20240210+cpu.torch2.2.0-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
Windows (CPU)
--------------
@ -49,9 +62,18 @@ you can use one of the following methods:
pip install torch==2.2.0+cpu -f https://download.pytorch.org/whl/torch_stable.html
pip install kaldifeat==1.25.4.dev20240210+cpu.torch2.2.0 -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.dev20240210+cpu.torch2.2.0 -f https://csukuangfj.github.io/kaldifeat/cpu-cn.html
# method 2
pip install torch==2.2.0+cpu -f https://download.pytorch.org/whl/torch_stable.html
wget https://huggingface.co/csukuangfj/kaldifeat/resolve/main/windows-cpu/kaldifeat-1.25.4.dev20240210+cpu.torch2.2.0-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.dev20240210+cpu.torch2.2.0-cp312-cp312-win_amd64.whl
pip install ./kaldifeat-1.25.4.dev20240210+cpu.torch2.2.0-cp312-cp312-win_amd64.whl
macOS (CPU)
@ -71,9 +93,18 @@ you can use one of the following methods:
pip install torch==2.2.0
pip install kaldifeat==1.25.4.dev20240210+cpu.torch2.2.0 -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.dev20240210+cpu.torch2.2.0 -f https://csukuangfj.github.io/kaldifeat/cpu-cn.html
# method 2
pip install torch==2.2.0 -f https://download.pytorch.org/whl/torch_stable.html
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
# 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.dev20240210+cpu.torch2.2.0-cp312-cp312-macosx_12_0_universal2.whl
pip install ./kaldifeat-1.25.4.dev20240210+cpu.torch2.2.0-cp312-cp312-macosx_12_0_universal2.whl
Linux (CUDA)
@ -93,7 +124,16 @@ you can use one of the following methods:
pip install torch==2.2.0+cu121 -f https://download.pytorch.org/whl/torch_stable.html
pip install kaldifeat==1.25.4.dev20240210+cuda12.1.torch2.2.0 -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.dev20240210+cuda12.1.torch2.2.0 -f https://csukuangfj.github.io/kaldifeat/cuda-cn.html
# method 2
pip install torch==2.2.0+cu121 -f https://download.pytorch.org/whl/torch_stable.html
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
# 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.dev20240210+cuda12.1.torch2.2.0-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