Create unimernet_hf_small_2503/README.md

models/MFR/unimernet_hf_small_2503/README.md

@@ -0,0 +1,47 @@
+---
+license: apache-2.0
+---
+## UniMERNet: A Universal Network for Mathematical Expression Recognition in Real-World Scenarios. 
+
+Visit our GitHub repository at [UniMERNet](https://github.com/opendatalab/unimernet) for more information. 
+
+
+## 引用
+```
+@misc{wang2024unimernetuniversalnetworkrealworld,
+      title={UniMERNet: A Universal Network for Real-World Mathematical Expression Recognition}, 
+      author={Bin Wang and Zhuangcheng Gu and Guang Liang and Chao Xu and Bo Zhang and Botian Shi and Conghui He},
+      year={2024},
+      eprint={2404.15254},
+      archivePrefix={arXiv},
+      primaryClass={cs.CV},
+      url={https://arxiv.org/abs/2404.15254}, 
+}
+
+@misc{wang2024cdmreliablemetricfair,
+      title={CDM: A Reliable Metric for Fair and Accurate Formula Recognition Evaluation}, 
+      author={Bin Wang and Fan Wu and Linke Ouyang and Zhuangcheng Gu and Rui Zhang and Renqiu Xia and Bo Zhang and Conghui He},
+      year={2024},
+      eprint={2409.03643},
+      archivePrefix={arXiv},
+      primaryClass={cs.CV},
+      url={https://arxiv.org/abs/2409.03643}, 
+}
+
+@misc{he2024opendatalabempoweringgeneralartificial,
+      title={OpenDataLab: Empowering General Artificial Intelligence with Open Datasets}, 
+      author={Conghui He and Wei Li and Zhenjiang Jin and Chao Xu and Bin Wang and Dahua Lin},
+      year={2024},
+      eprint={2407.13773},
+      archivePrefix={arXiv},
+      primaryClass={cs.DL},
+      url={https://arxiv.org/abs/2407.13773}, 
+}
+```
+
+## MD5 checksums
+```
+97f4867b4ff4e9a96c8daba8aaa793b4  tokenizer_config.json
+351652071425d3d36a634ccc8efb22e8  tokenizer.json
+430e426354e71624fb096c5c7ad90a78  pytorch_model.pth
+```