StevenTang
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Update README
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README.md
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---
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license: apache-2.0
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language:
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- en
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tags:
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- text-generation
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- text2text-generation
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pipeline_tag: text2text-generation
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widget:
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- text: "Given the dialog: do you like dance? [SEP] Yes I do. Did you know Bruce Lee was a cha cha dancer?"
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example_title: "Example1"
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- text: "Given the dialog: i used to scare for darkness [X_SEP] it feels like hitting to blank wall when i see the darkness [SEP] Oh ya? I don't really see how [SEP] dont you feel so.. its a wonder [SEP] I do actually hit blank walls a lot of times but i get by"
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example_title: "Example2"
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---
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# MVP-open-dialog
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The MVP-open-dialog model was proposed in [**MVP: Multi-task Supervised Pre-training for Natural Language Generation**](https://github.com/RUCAIBox/MVP/blob/main/paper.pdf) by Tianyi Tang, Junyi Li, Wayne Xin Zhao and Ji-Rong Wen.
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The detailed information and instructions can be found [https://github.com/RUCAIBox/MVP](https://github.com/RUCAIBox/MVP).
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## Model Description
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MVP-open-dialog is a prompt-based model that MVP is further equipped with prompts pre-trained using labeled open dialogue system datasets. It is a variant (MVP+S) of our main MVP model. It follows a Transformer encoder-decoder architecture with layer-wise prompts.
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MVP-open-dialog is specially designed for open dialogue system (conversation) tasks, such as chitchat (PersonaChat, DailyDialog), knowledge grounded conversation (Topical-Chat, Wizard of Wikipedia) and visual dialog (DSTC7-AVSD).
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## Example
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```python
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>>> from transformers import MvpTokenizer, MvpForConditionalGeneration
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>>> tokenizer = MvpTokenizer.from_pretrained("RUCAIBox/mvp")
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>>> model = MvpForConditionalGeneration.from_pretrained("RUCAIBox/mvp-open-dialog")
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>>> inputs = tokenizer(
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... "Given the dialog: do you like dance? [SEP] Yes I do. Did you know Bruce Lee was a cha cha dancer?",
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... return_tensors="pt",
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... )
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>>> generated_ids = model.generate(**inputs)
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>>> tokenizer.batch_decode(generated_ids, skip_special_tokens=True)
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['I did not know that. I did know that Tupac danced ballet in high school.']
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```
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## Citation
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