microsoft
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DialogRPT-depth

Text Classification Transformers PyTorch gpt2 Inference Endpoints text-generation-inference

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system HF staff commited on Oct 7, 2020

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@@ -19,7 +19,7 @@ We considered the following tasks and provided corresponding pretrained models.
 | :------------- | :----------- | :-----------: |
 |  **Human feedback**  |  **given a context and its two human responses, predict...**|
 | `updown` |  ... which gets more upvotes? | [model card](https://huggingface.co/microsoft/DialogRPT-updown) |
-| `width`| ... which gets more direct replies?  | [model card](https://huggingface.co/microsoft/DialogRPT-depth) |
 | `depth`|  ... which gets longer follow-up thread?  | this model |
 |  **Human-like** (human vs fake) | **given a context and one human response, distinguish it with...** |
 | `human_vs_rand`| ... a random human response  | [model card](https://huggingface.co/microsoft/DialogRPT-human-vs-rand) |

 | :------------- | :----------- | :-----------: |
 |  **Human feedback**  |  **given a context and its two human responses, predict...**|
 | `updown` |  ... which gets more upvotes? | [model card](https://huggingface.co/microsoft/DialogRPT-updown) |
+| `width`| ... which gets more direct replies?  | [model card](https://huggingface.co/microsoft/DialogRPT-width) |
 | `depth`|  ... which gets longer follow-up thread?  | this model |
 |  **Human-like** (human vs fake) | **given a context and one human response, distinguish it with...** |
 | `human_vs_rand`| ... a random human response  | [model card](https://huggingface.co/microsoft/DialogRPT-human-vs-rand) |