deploy: 387833fb7ced8f28b53c55ae5cc14becafa9c33c

_sources/for-dummies/environment-setup.rst.txt

@@ -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
 
+   # 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
 
    pip install git+https://github.com/lhotse-speech/lhotse

_sources/installation/index.rst.txt

@@ -206,6 +206,9 @@ We will install `k2`_ from pre-compiled wheels by following
 .. 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
+  # 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 links: https://k2-fsa.github.io/k2/cuda.html

for-dummies/environment-setup.html

@@ -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
 
+<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>
 
 pip<span class="w"> </span>install<span class="w"> </span>git+https://github.com/lhotse-speech/lhotse

installation/index.html

@@ -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
 <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
+<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>links:<span class="w"> </span>https://k2-fsa.github.io/k2/cuda.html