From 158226faa446d5a451ea519be294d0739286ce4c Mon Sep 17 00:00:00 2001 From: csukuangfj Date: Thu, 25 Jul 2024 07:18:04 +0000 Subject: [PATCH] deploy: 0355ed8ced241f2fff756752e35f03f672b8e5fc --- _sources/installation/from_wheels.rst.txt | 64 +++++++++++------------ installation/from_wheels.html | 64 +++++++++++------------ searchindex.js | 2 +- 3 files changed, 65 insertions(+), 65 deletions(-) diff --git a/_sources/installation/from_wheels.rst.txt b/_sources/installation/from_wheels.rst.txt index 28539ae..61cf292 100644 --- a/_sources/installation/from_wheels.rst.txt +++ b/_sources/installation/from_wheels.rst.txt @@ -21,29 +21,29 @@ Suppose you want to install the following wheel: .. 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: .. code-block:: bash # method 1 - 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 + 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.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 - 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 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.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) -------------- @@ -52,29 +52,29 @@ Suppose you want to install the following wheel: .. 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: .. code-block:: bash # method 1 - 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 + 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.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 - 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 + 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.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) ----------- @@ -83,29 +83,29 @@ Suppose you want to install the following wheel: .. 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: .. code-block:: bash # method 1 - 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 + 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.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 - 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 + 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.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) ------------ @@ -114,26 +114,26 @@ Suppose you want to install the following wheel: .. 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: .. code-block:: bash # method 1 - 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 + 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.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 - 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 + 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.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 diff --git a/installation/from_wheels.html b/installation/from_wheels.html index 46f1e41..76544e5 100644 --- a/installation/from_wheels.html +++ b/installation/from_wheels.html @@ -109,108 +109,108 @@ latest version of k

Linux (CPU)

Suppose you want to install the following wheel:

-
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:

 
# method 1
-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
+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.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
-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 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.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)

Suppose you want to install the following wheel:

-
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:

 
# method 1
-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
+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.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
-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
+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.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)

Suppose you want to install the following wheel:

-
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:

 
# method 1
-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
+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.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
-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
+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.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)

Suppose you want to install the following wheel:

-
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:

 
# method 1
-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
+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.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
-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
+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.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
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