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4
_sources/for-dummies/environment-setup.rst.txt
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@ -74,6 +74,10 @@ to install dependencies of `icefall`_:
pip install k2==1.24.4.dev20231220+cpu.torch2.0.0 -f https://k2-fsa.github.io/k2/cpu.html pip install k2==1.24.4.dev20231220+cpu.torch2.0.0 -f https://k2-fsa.github.io/k2/cpu.html
# For users from China
# 中国国内用户，如果访问不了 huggingface, 请使用
# pip install k2==1.24.4.dev20231220+cpu.torch2.0.0 -f https://k2-fsa.github.io/k2/cpu-cn.html
# Install the latest version of lhotse # Install the latest version of lhotse
pip install git+https://github.com/lhotse-speech/lhotse pip install git+https://github.com/lhotse-speech/lhotse

3
_sources/installation/index.rst.txt
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@ -206,6 +206,9 @@ We will install `k2`_ from pre-compiled wheels by following
.. code-block:: bash .. code-block:: bash
(test-icefall) kuangfangjun:~$ pip install k2==1.24.3.dev20230725+cuda11.6.torch1.13.0 -f https://k2-fsa.github.io/k2/cuda.html (test-icefall) kuangfangjun:~$ pip install k2==1.24.3.dev20230725+cuda11.6.torch1.13.0 -f https://k2-fsa.github.io/k2/cuda.html
# For users from China
# 中国国内用户，如果访问不了 huggingface, 请使用
# pip install k2==1.24.3.dev20230725+cuda11.6.torch1.13.0 -f https://k2-fsa.github.io/k2/cuda-cn.html
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Looking in links: https://k2-fsa.github.io/k2/cuda.html Looking in links: https://k2-fsa.github.io/k2/cuda.html

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for-dummies/environment-setup.html
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@ -161,6 +161,10 @@ pip<span class="w"> </span>install<span class="w"> </span><span class="nv">torch
pip<span class="w"> </span>install<span class="w"> </span><span class="nv">k2</span><span class="o">==</span><span class="m">1</span>.24.4.dev20231220+cpu.torch2.0.0<span class="w"> </span>-f<span class="w"> </span>https://k2-fsa.github.io/k2/cpu.html pip<span class="w"> </span>install<span class="w"> </span><span class="nv">k2</span><span class="o">==</span><span class="m">1</span>.24.4.dev20231220+cpu.torch2.0.0<span class="w"> </span>-f<span class="w"> </span>https://k2-fsa.github.io/k2/cpu.html
<span class="c1"># For users from China</span>
<span class="c1"># 中国国内用户，如果访问不了 huggingface, 请使用</span>
<span class="c1"># pip install k2==1.24.4.dev20231220+cpu.torch2.0.0 -f https://k2-fsa.github.io/k2/cpu-cn.html</span>
<span class="c1"># Install the latest version of lhotse</span> <span class="c1"># Install the latest version of lhotse</span>
pip<span class="w"> </span>install<span class="w"> </span>git+https://github.com/lhotse-speech/lhotse pip<span class="w"> </span>install<span class="w"> </span>git+https://github.com/lhotse-speech/lhotse

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installation/index.html
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@ -295,6 +295,9 @@ Successfully<span class="w"> </span>installed<span class="w"> </span>torch-1.13.
<p>We will install <a class="reference external" href="https://github.com/k2-fsa/k2">k2</a> from pre-compiled wheels by following <p>We will install <a class="reference external" href="https://github.com/k2-fsa/k2">k2</a> from pre-compiled wheels by following
<a class="reference external" href="https://k2-fsa.github.io/k2/installation/from_wheels.html">https://k2-fsa.github.io/k2/installation/from_wheels.html</a></p> <a class="reference external" href="https://k2-fsa.github.io/k2/installation/from_wheels.html">https://k2-fsa.github.io/k2/installation/from_wheels.html</a></p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span><span class="o">(</span>test-icefall<span class="o">)</span><span class="w"> </span>kuangfangjun:~$<span class="w"> </span>pip<span class="w"> </span>install<span class="w"> </span><span class="nv">k2</span><span class="o">==</span><span class="m">1</span>.24.3.dev20230725+cuda11.6.torch1.13.0<span class="w"> </span>-f<span class="w"> </span>https://k2-fsa.github.io/k2/cuda.html <div class="highlight-bash notranslate"><div class="highlight"><pre><span></span><span class="o">(</span>test-icefall<span class="o">)</span><span class="w"> </span>kuangfangjun:~$<span class="w"> </span>pip<span class="w"> </span>install<span class="w"> </span><span class="nv">k2</span><span class="o">==</span><span class="m">1</span>.24.3.dev20230725+cuda11.6.torch1.13.0<span class="w"> </span>-f<span class="w"> </span>https://k2-fsa.github.io/k2/cuda.html
<span class="c1"># For users from China</span>
<span class="c1"># 中国国内用户，如果访问不了 huggingface, 请使用</span>
<span class="c1"># pip install k2==1.24.3.dev20230725+cuda11.6.torch1.13.0 -f https://k2-fsa.github.io/k2/cuda-cn.html</span>
Looking<span class="w"> </span><span class="k">in</span><span class="w"> </span>indexes:<span class="w"> </span>https://pypi.tuna.tsinghua.edu.cn/simple Looking<span class="w"> </span><span class="k">in</span><span class="w"> </span>indexes:<span class="w"> </span>https://pypi.tuna.tsinghua.edu.cn/simple
Looking<span class="w"> </span><span class="k">in</span><span class="w"> </span>links:<span class="w"> </span>https://k2-fsa.github.io/k2/cuda.html Looking<span class="w"> </span><span class="k">in</span><span class="w"> </span>links:<span class="w"> </span>https://k2-fsa.github.io/k2/cuda.html

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searchindex.js
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