| | |
|---|
| | | |
|---|
| | | ### Punctuation Restoration |
|---|
| | | |
|---|
| | | | Model Name | Language ｜ Training Data | Parameters | Vocab Size| Offline/Online | Notes | |
|---|
| | | |:--------------------------------------------------------------------------------------------------------------------------:|:----------------------------:|:----------:|:----------:|:--------------:|:------| |
|---|
| | | | 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 | |
|---|
