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license: apache-2.0
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license: apache-2.0
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# mirror-chinese-mrcqa-alpha
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🎉 Congratulations, you've found something fantastic!
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This is a ckpt of [🪞Mirror](https://github.com/Spico197/Mirror) for Chinese language.
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This model supports a lot of schema-guided Chinese Information Extraction tasks, e.g. NER, RE, Keyword extraction, MRC, Classification.
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The model is developed in a very early stage (before the final Mirror) and it is based on MRC.
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Please contact [Tong Zhu](https://spico197.github.io/) for more information about the model usage.
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## 🚀 QuickStart
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- downloading
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```bash
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git clone https://github.com/Spico197/Mirror
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# Mirror is the working dir
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cd Mirror
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mkdir outputs
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cd outputs
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git lfs install
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git clone https://huggingface.co/Spico/mirror-chinese-mrcqa-alpha
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```
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- usage
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```bash
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# 1. go to Mirror (the working dir)
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# 2. change `src/app/demo1_deprecated.py`: `MrcQaPipeline("outputs/RobertaBase_data20230314v2")` to `MrcQaPipeline("outputs/mirror-chinese-mrcqa-alpha")`
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python -m src.app.demo1_deprecated
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```
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## 📖 Citation
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```bibtex
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@misc{zhu_mirror_2023,
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shorttitle = {Mirror},
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title = {Mirror: A Universal Framework for Various Information Extraction Tasks},
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author = {Zhu, Tong and Ren, Junfei and Yu, Zijian and Wu, Mengsong and Zhang, Guoliang and Qu, Xiaoye and Chen, Wenliang and Wang, Zhefeng and Huai, Baoxing and Zhang, Min},
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url = {http://arxiv.org/abs/2311.05419},
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doi = {10.48550/arXiv.2311.05419},
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urldate = {2023-11-10},
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publisher = {arXiv},
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month = nov,
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year = {2023},
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note = {arXiv:2311.05419 [cs]},
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keywords = {Computer Science - Artificial Intelligence, Computer Science - Computation and Language},
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}
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```
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