microsoft
/

DialogRPT-updown

Text Classification

Inference Endpoints

text-generation-inference

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system HF staff commited on Oct 7, 2020

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@@ -20,7 +20,7 @@ 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? | this model |
 | `width`| ... which gets more direct replies?  | [model card](https://huggingface.co/microsoft/DialogRPT-width) |
-| `depth`|  ... which gets longer follow-up thread?  | [model card](https://huggingface.co/microsoft/DialogRPT-width) |
 |  **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_vs_machine`| ... a machine generated response  | [model card](https://huggingface.co/microsoft/DialogRPT-human-vs-machine) |

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