Update modelscope_models.md

chenmengzheAAA

2023-09-14 30c40c643c19f6e2ac8679fa76d09d0f9ceccc65

 docs/model_zoo/modelscope_models.md

@@ -54,6 +54,7 @@


#### Conformer

|                                                       Model Name                                                       | Language |     Training Data     | Vocab Size | Parameter | Offline/Online | Notes                                                                                                                           |
|:----------------------------------------------------------------------------------------------------------------------:|:--------:|:---------------------:|:----------:|:---------:|:--------------:|:--------------------------------------------------------------------------------------------------------------------------------|
| [Conformer](https://modelscope.cn/models/damo/speech_conformer_asr_nat-zh-cn-16k-aishell1-vocab4234-pytorch/summary)   |   CN     |  AISHELL (178hours)   |    4234    |    44M    |    Offline     | Duration of input wav <= 20s                                                                                                    |
@@ -77,10 +78,11 @@

### Punctuation Restoration

|                                                         Model Name                                                         |        Training Data         | Parameters | Vocab Size| Offline/Online | Notes |
|:--------------------------------------------------------------------------------------------------------------------------:|:----------------------------:|:----------:|:----------:|:--------------:|:------|
|      [CT-Transformer](https://modelscope.cn/models/damo/punc_ct-transformer_zh-cn-common-vocab272727-pytorch/summary)      | Alibaba Text Data |    70M     |    272727     |    Offline     |   offline punctuation model    |
| [CT-Transformer](https://modelscope.cn/models/damo/punc_ct-transformer_zh-cn-common-vad_realtime-vocab272727/summary)      | Alibaba Text Data |    70M     |    272727     |     Online     |  online punctuation model     |
|                                                         Model Name                                                         |        Language | Training Data         | Parameters | Vocab Size| Offline/Online | Notes |
|:--------------------------------------------------------------------------------------------------------------------------:|:---------|:----------------------------:|:----------:|:----------:|:--------------:|:------|
|      [CT-Transformer](https://modelscope.cn/models/damo/punc_ct-transformer_cn-en-common-vocab471067-large/summary)     | CN & EN | Alibaba Text Data |    100M     |    471067     |    Offline     |   large offline punctuation model    |
|      [CT-Transformer](https://modelscope.cn/models/damo/punc_ct-transformer_zh-cn-common-vocab272727-pytorch/summary)    | CN & EN  | Alibaba Text Data |    70M     |    272727     |    Offline     |   offline punctuation model    |
| [CT-Transformer](https://modelscope.cn/models/damo/punc_ct-transformer_zh-cn-common-vad_realtime-vocab272727/summary)    | CN & EN  | Alibaba Text Data |    70M     |    272727     |     Online     |  online punctuation model     |

### Language Models