From 790ce97b79bd9a3cd2db58ddad93d5aa4b57a8fc Mon Sep 17 00:00:00 2001
From: Yabin Li <wucong.lyb@alibaba-inc.com>
Date: 星期五, 30 六月 2023 17:48:53 +0800
Subject: [PATCH] Rename docker_lists to docker_offline_cpu_zh_lists

---
 docs/model_zoo/modelscope_models.md |    7 +++++--
 1 files changed, 5 insertions(+), 2 deletions(-)

diff --git a/docs/model_zoo/modelscope_models.md b/docs/model_zoo/modelscope_models.md
index 1b7f475..2e4e51c 100644
--- a/docs/model_zoo/modelscope_models.md
+++ b/docs/model_zoo/modelscope_models.md
@@ -1,7 +1,10 @@
 # Pretrained Models on ModelScope
 
 ## Model License
--  Apache License 2.0
+You are free to use, copy, modify, and share FunASR models under the conditions of this agreement. You should indicate the model source and author information when using, copying, modifying and sharing FunASR models. You should keep the relevant names of models in [FunASR software].. Full model license could see [license](https://github.com/alibaba-damo-academy/FunASR/blob/main/MODEL_LICENSE)
+
+## Model Usage
+Ref to [docs](https://alibaba-damo-academy.github.io/FunASR/en/modelscope_pipeline/quick_start.html)
 
 ## Model Zoo
 Here we provided several pretrained models on different datasets. The details of models and datasets can be found on [ModelScope](https://www.modelscope.cn/models?page=1&tasks=auto-speech-recognition).
@@ -45,7 +48,7 @@
 |                [UniASR Burmese](https://modelscope.cn/models/damo/speech_UniASR_asr_2pass-my-16k-common-vocab696-pytorch/summary)                 |       MY        | Alibaba Speech Data (1000 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)                 |       HE        | Alibaba Speech Data (1000 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)                      |       UR        | Alibaba Speech Data (1000 hours)  |    877     |    95M    |     Online     | UniASR streaming offline unifying models                                                                                                    |
-
+|              [UniASR Turkish](https://modelscope.cn/models/damo/speech_UniASR_asr_2pass-tr-16k-common-vocab1582-pytorch/summary)                      |       TR        | Alibaba Speech Data (1000 hours)  |    1582     |    95M    |     Online     | UniASR streaming offline unifying models                                                                                                    |
 
 
 #### Conformer Models

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