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--- |
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language: |
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- zh |
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license: apache-2.0 |
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widget: |
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- text: "“房间很一般，小，且让人感觉脏，隔音效果差，能听到走廊的人讲话，走廊光线昏暗，旁边没有什么可吃” 这条评论的态度是什么？" |
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--- |
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# Mengzi-T5-MT model |
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This is a Multi-Task model trained on the multitask mixture of 27 datasets and 301 prompts, based on [Mengzi-T5-base](https://huggingface.co/Langboat/mengzi-t5-base). |
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[Mengzi: Towards Lightweight yet Ingenious Pre-trained Models for Chinese](https://arxiv.org/abs/2110.06696) |
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## Usage |
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```python |
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from transformers import T5Tokenizer, T5ForConditionalGeneration |
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tokenizer = T5Tokenizer.from_pretrained("Langboat/mengzi-t5-base-mt") |
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model = T5ForConditionalGeneration.from_pretrained("Langboat/mengzi-t5-base-mt") |
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``` |
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## Citation |
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If you find the technical report or resource is useful, please cite the following technical report in your paper. |
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``` |
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@misc{zhang2021mengzi, |
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title={Mengzi: Towards Lightweight yet Ingenious Pre-trained Models for Chinese}, |
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author={Zhuosheng Zhang and Hanqing Zhang and Keming Chen and Yuhang Guo and Jingyun Hua and Yulong Wang and Ming Zhou}, |
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year={2021}, |
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eprint={2110.06696}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CL} |
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} |
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``` |
