IDEA-CCNL
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Erlangshen-DeBERTa-v2-320M-Chinese

Inference Endpoints

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gxy commited on Oct 20, 2022

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@@ -51,7 +51,7 @@ We present the results (dev set) on the following tasks:
 | RoBERTa-large                                                                                                                    | 0.7488 | 0.5879   | 0.6152  | 0.777  | 0.814  |
 | [IDEA-CCNL/Erlangshen-DeBERTa-v2-97M-Chinese](https://huggingface.co/IDEA-CCNL/Erlangshen-DeBERTa-v2-186M-Chinese-SentencePiece) | 0.7405 | 0.571    | 0.5977  | 0.7568 | 0.807  |
 | **[IDEA-CCNL/Erlangshen-DeBERTa-v2-320M-Chinese](https://huggingface.co/IDEA-CCNL/Erlangshen-DeBERTa-v2-320M-Chinese)**          | 0.7498 | 0.5817   | 0.6042  | 0.8022 | 0.8301 |
-| [IDEA-CCNL/Erlangshen-Deberta-XLarge-710M-Chinese](https://huggingface.co/IDEA-CCNL/Erlangshen-DeBERTa-v2-710M-Chinese)          | 0.7549 | 0.5873   | 0.6177  | 0.8012 | 0.8389 |
 ## 使用 Usage

 | RoBERTa-large                                                                                                                    | 0.7488 | 0.5879   | 0.6152  | 0.777  | 0.814  |
 | [IDEA-CCNL/Erlangshen-DeBERTa-v2-97M-Chinese](https://huggingface.co/IDEA-CCNL/Erlangshen-DeBERTa-v2-186M-Chinese-SentencePiece) | 0.7405 | 0.571    | 0.5977  | 0.7568 | 0.807  |
 | **[IDEA-CCNL/Erlangshen-DeBERTa-v2-320M-Chinese](https://huggingface.co/IDEA-CCNL/Erlangshen-DeBERTa-v2-320M-Chinese)**          | 0.7498 | 0.5817   | 0.6042  | 0.8022 | 0.8301 |
+| [IDEA-CCNL/Erlangshen-DeBERTa-v2-710M-Chinese](https://huggingface.co/IDEA-CCNL/Erlangshen-DeBERTa-v2-710M-Chinese)              | 0.7549 | 0.5873   | 0.6177  | 0.8012 | 0.8389 |
 ## 使用 Usage