IDEA-CCNL
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Erlangshen-Roberta-330M-NLI

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Inference Endpoints

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suolyer commited on May 12, 2022

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@@ -38,7 +38,7 @@ print(torch.nn.functional.softmax(output.logits,dim=-1))
 | :--------:    | :-----:  | :----:  | :-----:   |
 | Erlangshen-Roberta-110M-NLI | 80.83     |   78.56    | 88.01      |
 | Erlangshen-Roberta-330M-NLI | 82.25      |   79.82    | 88      |
 ## Citation
 If you find the resource is useful, please cite the following website in your paper.
 ```

 | :--------:    | :-----:  | :----:  | :-----:   |
 | Erlangshen-Roberta-110M-NLI | 80.83     |   78.56    | 88.01      |
 | Erlangshen-Roberta-330M-NLI | 82.25      |   79.82    | 88      |
+| Erlangshen-MegatronBert-1.3B-NLI | 84.52      |   84.17    | 88.67      |
 ## Citation
 If you find the resource is useful, please cite the following website in your paper.
 ```