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Merge pull request #356 from alibaba-damo-academy/chenmengzheAAA-patch-1
Update modelscope_models.md
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@ -51,8 +51,8 @@ Here we provided several pretrained models on different datasets. The details of
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| Model Name | Training Data | Parameters | Vocab Size| Offline/Online | Notes |
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| Model Name | Training Data | Parameters | Vocab Size| Offline/Online | Notes |
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|:--------------------------------------------------------------------------------------------------------------------------:|:----------------------------:|:----------:|:----------:|:--------------:|:------|
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|:--------------------------------------------------------------------------------------------------------------------------:|:----------------------------:|:----------:|:----------:|:--------------:|:------|
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| [CT-Transformer](https://modelscope.cn/models/damo/punc_ct-transformer_zh-cn-common-vocab272727-pytorch/summary) | Alibaba Speech Data (?hours) | 70M | 272727 | Offline | |
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| [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 |
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| [CT-Transformer](https://modelscope.cn/models/damo/punc_ct-transformer_zh-cn-common-vad_realtime-vocab272727/summary) | Alibaba Speech Data (?hours) | 70M | 272727 | Online | |
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| [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 |
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### Language Models
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### Language Models
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