From 89f529597cf6983c4a093113055bbada1e461012 Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期二, 18 四月 2023 11:29:17 +0800
Subject: [PATCH] docs

---
 docs/modelscope_models.md |   12 ++++++------
 docs/index.rst            |   13 ++++++++++++-
 2 files changed, 18 insertions(+), 7 deletions(-)

diff --git a/docs/index.rst b/docs/index.rst
index 84c3f0b..ff34e06 100644
--- a/docs/index.rst
+++ b/docs/index.rst
@@ -24,7 +24,18 @@
 
 .. toctree::
    :maxdepth: 1
-   :caption: ModelScope:
+   :caption: Runtime:
+
+   ../funasr/export/README.md
+   ../funasr/runtime/python/onnxruntime/README.md
+   ../funasr/runtime/python/libtorch/README.md
+   ../funasr/runtime/onnxruntime/readme.md
+   ../funasr/runtime/grpc/Readme.md
+
+
+.. toctree::
+   :maxdepth: 1
+   :caption: ModelScope pipeline:
 
    ./modelscope_models.md
    ./modelscope_usages.md
diff --git a/docs/modelscope_models.md b/docs/modelscope_models.md
index d8c9b18..1f998b9 100644
--- a/docs/modelscope_models.md
+++ b/docs/modelscope_models.md
@@ -1,4 +1,4 @@
-# Pretrained models on ModelScope
+# Pretrained models
 
 ## Model License
 -  Apache License 2.0
@@ -27,8 +27,8 @@
 
 |                                                               Model Name                                                               | Language |          Training Data           | Vocab Size | Parameter | Offline/Online | Notes                                                                                                                           |
 |:--------------------------------------------------------------------------------------------------------------------------------------:|:--------:|:--------------------------------:|:----------:|:---------:|:--------------:|:--------------------------------------------------------------------------------------------------------------------------------|
-|       [UniASR](https://modelscope.cn/models/damo/speech_UniASR_asr_2pass-zh-cn-16k-common-vocab8358-tensorflow1-online/summary)        | CN, EN  | Alibaba Speech Data (60000hours) |    8358    |   100M    |     Online     | UniASR streaming offline unifying models                                                                                                    |
-| [UniASR-large](https://modelscope.cn/models/damo/speech_UniASR-large_asr_2pass-zh-cn-16k-common-vocab8358-tensorflow1-offline/summary) | CN, EN  | Alibaba Speech Data (60000hours) |    8358    |   220M    |    Offline     | UniASR streaming offline unifying models                                                                                                    |
+|       [UniASR](https://modelscope.cn/models/damo/speech_UniASR_asr_2pass-zh-cn-16k-common-vocab8358-tensorflow1-online/summary)        | CN & EN  | Alibaba Speech Data (60000hours) |    8358    |   100M    |     Online     | UniASR streaming offline unifying models                                                                                                    |
+| [UniASR-large](https://modelscope.cn/models/damo/speech_UniASR-large_asr_2pass-zh-cn-16k-common-vocab8358-tensorflow1-offline/summary) | CN & EN  | Alibaba Speech Data (60000hours) |    8358    |   220M    |    Offline     | UniASR streaming offline unifying models                                                                                                    |
 |           [UniASR Burmese](https://modelscope.cn/models/damo/speech_UniASR_asr_2pass-my-16k-common-vocab696-pytorch/summary)           | Burmese  |  Alibaba Speech Data (? hours)   |    696     |    95M    |     Online     | UniASR streaming offline unifying models                                                                                                    |
 |           [UniASR Hebrew](https://modelscope.cn/models/damo/speech_UniASR_asr_2pass-he-16k-common-vocab1085-pytorch/summary)           |  Hebrew  |  Alibaba Speech Data (? hours)   |    1085    |    95M    |     Online     | UniASR streaming offline unifying models                                                                                                    |
 |       [UniASR Urdu](https://modelscope.cn/models/damo/speech_UniASR_asr_2pass-ur-16k-common-vocab877-pytorch/summary)                  |   Urdu   |  Alibaba Speech Data (? hours)   |    877     |    95M    |     Online     | UniASR streaming offline unifying models                                                                                                    |
@@ -47,9 +47,9 @@
 
 #### MFCCA Models
 
-|                                                       Model Name                                                       | Language |     Training Data     | Vocab Size | Parameter | Offline/Online | Notes                                                                                                                           |
-|:----------------------------------------------------------------------------------------------------------------------:|:--------:|:---------------------:|:----------:|:---------:|:--------------:|:--------------------------------------------------------------------------------------------------------------------------------|
-| [MFCCA](https://www.modelscope.cn/models/NPU-ASLP/speech_mfcca_asr-zh-cn-16k-alimeeting-vocab4950/summary)   |   CN     |  AliMeeting銆丄ISHELL-4銆丼imudata (917hours)   |    4950    |    45M    |    Offline     | Duration of input wav <= 20s, channel of input wav <= 8 channel
+|                                                  Model Name                                                   | Language |               Training Data                | Vocab Size | Parameter | Offline/Online | Notes                                                                                                                           |
+|:-------------------------------------------------------------------------------------------------------------:|:--------:|:------------------------------------------:|:----------:|:---------:|:--------------:|:--------------------------------------------------------------------------------------------------------------------------------|
+| [MFCCA](https://www.modelscope.cn/models/NPU-ASLP/speech_mfcca_asr-zh-cn-16k-alimeeting-vocab4950/summary)    |   CN     | AliMeeting銆丄ISHELL-4銆丼imudata (917hours)   |     4950   |    45M    |    Offline     | Duration of input wav <= 20s, channel of input wav <= 8 channel |
 
 
 

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