The MVP-story model was proposed in MVP: Multi-task Supervised Pre-training for Natural Language Generation by Tianyi Tang, Junyi Li, Wayne Xin Zhao and Ji-Rong Wen. The detailed information and instructions can be found https://github.com/RUCAIBox/MVP. MVP-story is a prompt-based model that MVP is further equipped with prompts pre-trained using labeled story generation datasets. It is a variant (MVP+S) of our main MVP model. It follows a Transformer encoder-decoder architecture with layer-wise prompts. MVP-story is specially designed for story generation tasks, such as ROCStories and WritingPrompts. — MVP-multi-task: https://huggingface.co/RUCAIBox/mvp-multi-task. — MVP-summarization: https://huggingface.co/RUCAIBox/mvp-summarization. — MVP-open-dialog: https://huggingface.co/RUCAIBox/mvp-open-dialog. — MVP-data-to-text: https://huggingface.co/RUCAIBox/mvp-data-to-text. — MVP-story: https://huggingface.co/RUCAIBox/mvp-story. — MVP-question-answering: https://huggingface.co/RUCAIBox/mvp-question-answering. — MVP-question-generation: https://huggingface.co/RUCAIBox/mvp-question-generation. — MVP-task-dialog: https://huggingface.co/RUCAIBox/mvp-task-dialog. Multi-task models: -…
Модальности:
Генерация текста
Задача: Генерация текста
Автор: RUCAIBox
Теги: mvp, text2text-generation, en, endpoints_compatible
Лайков: 3 | Загрузок: 30
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
