Add some models link on ModelScope (#505)

k2-fsa · Nov 10, 2023 · a34c2c8 · a34c2c8
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diff --git a/docs/source/ncnn/pretrained_models/conv-emformer-transducer-models.rst b/docs/source/ncnn/pretrained_models/conv-emformer-transducer-models.rst
@@ -169,13 +169,27 @@ In the following, we describe how to download and use it with `sherpa-ncnn`_.
 
 Please use the following commands to download it.
 
-.. code-block:: bash
+.. tabs::
 
-  cd /path/to/sherpa-ncnn
+   .. tab:: Huggingface
 
-  GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/csukuangfj/sherpa-ncnn-conv-emformer-transducer-2022-12-06
-  cd sherpa-ncnn-conv-emformer-transducer-2022-12-06
-  git lfs pull --include "*.bin"
+      .. code-block:: bash
+
+        cd /path/to/sherpa-ncnn
+
+        GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/csukuangfj/sherpa-ncnn-conv-emformer-transducer-2022-12-06
+        cd sherpa-ncnn-conv-emformer-transducer-2022-12-06
+        git lfs pull --include "*.bin"
+
+   .. tab:: ModelScope
+
+      .. code-block:: bash
+
+        cd /path/to/sherpa-ncnn
+
+        GIT_LFS_SKIP_SMUDGE=1 git clone https://www.modelscope.cn/pkufool/sherpa-ncnn-conv-emformer-transducer-2022-12-06.git
+        cd sherpa-ncnn-conv-emformer-transducer-2022-12-06
+        git lfs pull --include "*.bin"
 
 Please check that the file size of the pre-trained models is correct (see the
 output below):

diff --git a/docs/source/ncnn/pretrained_models/zipformer-transucer-models.rst b/docs/source/ncnn/pretrained_models/zipformer-transucer-models.rst
@@ -23,13 +23,28 @@ Download the model
 
 Please use the following commands to download it.
 
-.. code-block:: bash
+.. tabs::
 
-  cd /path/to/sherpa-ncnn
+   .. tab:: Huggingface
+
+      .. code-block:: bash
+
+        cd /path/to/sherpa-ncnn
+
+        GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/marcoyang/sherpa-ncnn-streaming-zipformer-zh-14M-2023-02-23
+        cd sherpa-ncnn-streaming-zipformer-zh-14M-2023-02-23
+        git lfs pull --include "*.bin"
+
+   .. tab:: ModelScope
+
+      .. code-block:: bash
+
+        cd /path/to/sherpa-ncnn
+
+        GIT_LFS_SKIP_SMUDGE=1 git clone https://www.modelscope.cn/pkufool/sherpa-ncnn-streaming-zipformer-zh-14M-2023-02-23.git
+        cd sherpa-ncnn-streaming-zipformer-zh-14M-2023-02-23
+        git lfs pull --include "*.bin"
 
-  GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/marcoyang/sherpa-ncnn-streaming-zipformer-zh-14M-2023-02-23
-  cd sherpa-ncnn-streaming-zipformer-zh-14M-2023-02-23
-  git lfs pull --include "*.bin"
 
 After downloading, please check the file sizes of the models. You should see the following
 output after .
@@ -132,13 +147,27 @@ Download the model
 
 Please use the following commands to download it.
 
-.. code-block:: bash
+.. tabs::
 
-  cd /path/to/sherpa-ncnn
+   .. tab:: Huggingface
 
-  GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/marcoyang/sherpa-ncnn-streaming-zipformer-20M-2023-02-17
-  cd sherpa-ncnn-streaming-zipformer-20M-2023-02-17
-  git lfs pull --include "*.bin"
+      .. code-block:: bash
+
+        cd /path/to/sherpa-ncnn
+
+        GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/marcoyang/sherpa-ncnn-streaming-zipformer-20M-2023-02-17
+        cd sherpa-ncnn-streaming-zipformer-20M-2023-02-17
+        git lfs pull --include "*.bin"
+
+   .. tab:: ModelScope
+
+      .. code-block:: bash
+
+        cd /path/to/sherpa-ncnn
+
+        GIT_LFS_SKIP_SMUDGE=1 git clone https://www.modelscope.cn/pkufool/sherpa-ncnn-streaming-zipformer-20M-2023-02-17.git
+        cd sherpa-ncnn-streaming-zipformer-20M-2023-02-17
+        git lfs pull --include "*.bin"
 
 After downloading, please check the file sizes of the models. You should see the following
 output after .

diff --git a/...source/onnx/pretrained_models/online-transducer/zipformer-transducer-models.rst b/...source/onnx/pretrained_models/online-transducer/zipformer-transducer-models.rst
@@ -401,13 +401,27 @@ Download the model
 
 Please use the following commands to download it.
 
-.. code-block:: bash
+.. tabs::
 
-  cd /path/to/sherpa-onnx
+   .. tab:: Huggingface
 
-  GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/csukuangfj/sherpa-onnx-streaming-zipformer-en-2023-02-21
-  cd sherpa-onnx-streaming-zipformer-en-2023-02-21
-  git lfs pull --include "*.onnx"
+      .. code-block:: bash
+
+        cd /path/to/sherpa-onnx
+
+        GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/csukuangfj/sherpa-onnx-streaming-zipformer-en-2023-02-21
+        cd sherpa-onnx-streaming-zipformer-en-2023-02-21
+        git lfs pull --include "*.onnx"
+
+   .. tab:: ModelScope
+
+      .. code-block:: bash
+
+        cd /path/to/sherpa-onnx
+
+        GIT_LFS_SKIP_SMUDGE=1 git clone https://www.modelscope.cn/pkufool/sherpa-onnx-streaming-zipformer-en-2023-02-21.git
+        cd sherpa-onnx-streaming-zipformer-en-2023-02-21
+        git lfs pull --include "*.onnx"
 
 Please check that the file sizes of the pre-trained models are correct. See
 the file sizes of ``*.onnx`` files below.
@@ -517,13 +531,27 @@ Download the model
 
 Please use the following commands to download it.
 
-.. code-block:: bash
+.. tabs::
 
-  cd /path/to/sherpa-onnx
+   .. tab:: Huggingface
 
-  GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/csukuangfj/sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20
-  cd sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20
-  git lfs pull --include "*.onnx"
+      .. code-block:: bash
+
+        cd /path/to/sherpa-onnx
+
+        GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/csukuangfj/sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20
+        cd sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20
+        git lfs pull --include "*.onnx"
+
+   .. tab:: ModelScope
+
+      .. code-block:: bash
+
+        cd /path/to/sherpa-onnx
+
+        GIT_LFS_SKIP_SMUDGE=1 git clone https://www.modelscope.cn/pkufool/sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20.git
+        cd sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20
+        git lfs pull --include "*.onnx"
 
 Please check that the file sizes of the pre-trained models are correct. See
 the file sizes of ``*.onnx`` files below.