Update README.md

README.md

@@ -11,98 +11,4 @@ tags:
 license: apache-2.0
 ---
 
-<h1>General OCR Theory: Towards OCR-2.0 via a Unified End-to-end Model
-</h1>
-
-[🔋Online Demo](https://huggingface.co/spaces/ucaslcl/GOT_online) | [🌟GitHub](https://github.com/Ucas-HaoranWei/GOT-OCR2.0/) | [📜Paper](https://arxiv.org/abs/2409.01704)</a> 
-
-
-[Haoran Wei*](https://scholar.google.com/citations?user=J4naK0MAAAAJ&hl=en), Chenglong Liu*, Jinyue Chen, Jia Wang, Lingyu Kong, Yanming Xu,  [Zheng Ge](https://joker316701882.github.io/), Liang Zhao, [Jianjian Sun](https://scholar.google.com/citations?user=MVZrGkYAAAAJ&hl=en), [Yuang Peng](https://scholar.google.com.hk/citations?user=J0ko04IAAAAJ&hl=zh-CN&oi=ao), Chunrui Han, [Xiangyu Zhang](https://scholar.google.com/citations?user=yuB-cfoAAAAJ&hl=en)
-
-
-
-![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/6653eee7a2d7a882a805ab95/QCEFY-M_YG3Bp5fn1GQ8X.jpeg)
-
-
-
-## Usage
-Inference using Huggingface transformers on NVIDIA GPUs. Requirements tested on python 3.10：
-```
-torch==2.0.1
-torchvision==0.15.2
-transformers==4.37.2
-tiktoken==0.6.0
-verovio==4.3.1
-accelerate==0.28.0
-```
-
-
-```python
-from transformers import AutoModel, AutoTokenizer
-
-tokenizer = AutoTokenizer.from_pretrained('ucaslcl/GOT-OCR2_0', trust_remote_code=True)
-model = AutoModel.from_pretrained('ucaslcl/GOT-OCR2_0', trust_remote_code=True, low_cpu_mem_usage=True, device_map='cuda', use_safetensors=True, pad_token_id=tokenizer.eos_token_id)
-model = model.eval().cuda()
-
-
-# input your test image
-image_file = 'xxx.jpg'
-
-# plain texts OCR
-res = model.chat(tokenizer, image_file, ocr_type='ocr')
-
-# format texts OCR:
-# res = model.chat(tokenizer, image_file, ocr_type='format')
-
-# fine-grained OCR:
-# res = model.chat(tokenizer, image_file, ocr_type='ocr', ocr_box='')
-# res = model.chat(tokenizer, image_file, ocr_type='format', ocr_box='')
-# res = model.chat(tokenizer, image_file, ocr_type='ocr', ocr_color='')
-# res = model.chat(tokenizer, image_file, ocr_type='format', ocr_color='')
-
-# multi-crop OCR:
-# res = model.chat_crop(tokenizer, image_file, ocr_type='ocr')
-# res = model.chat_crop(tokenizer, image_file, ocr_type='format')
-
-# render the formatted OCR results:
-# res = model.chat(tokenizer, image_file, ocr_type='format', render=True, save_render_file = './demo.html')
-
-print(res)
-
-
-```
-More details about 'ocr_type', 'ocr_box', 'ocr_color', and 'render' can be found at our GitHub.
-Our training codes are available at our [GitHub](https://github.com/Ucas-HaoranWei/GOT-OCR2.0/).
-
-
-
-## More Multimodal Projects
-
-👏 Welcome to explore more multimodal projects of our team:
-
-[Vary](https://github.com/Ucas-HaoranWei/Vary) | [Fox](https://github.com/ucaslcl/Fox) | [OneChart](https://github.com/LingyvKong/OneChart)
-
-## Citation
-
-If you find our work helpful, please consider citing our papers 📝 and liking this project ❤️！
-
-```bib
-@article{wei2024general,
-  title={General OCR Theory: Towards OCR-2.0 via a Unified End-to-end Model},
-  author={Wei, Haoran and Liu, Chenglong and Chen, Jinyue and Wang, Jia and Kong, Lingyu and Xu, Yanming and Ge, Zheng and Zhao, Liang and Sun, Jianjian and Peng, Yuang and others},
-  journal={arXiv preprint arXiv:2409.01704},
-  year={2024}
-}
-@article{liu2024focus,
-  title={Focus Anywhere for Fine-grained Multi-page Document Understanding},
-  author={Liu, Chenglong and Wei, Haoran and Chen, Jinyue and Kong, Lingyu and Ge, Zheng and Zhu, Zining and Zhao, Liang and Sun, Jianjian and Han, Chunrui and Zhang, Xiangyu},
-  journal={arXiv preprint arXiv:2405.14295},
-  year={2024}
-}
-@article{wei2023vary,
-  title={Vary: Scaling up the Vision Vocabulary for Large Vision-Language Models},
-  author={Wei, Haoran and Kong, Lingyu and Chen, Jinyue and Zhao, Liang and Ge, Zheng and Yang, Jinrong and Sun, Jianjian and Han, Chunrui and Zhang, Xiangyu},
-  journal={arXiv preprint arXiv:2312.06109},
-  year={2023}
-}
-```
+GOT OCR v1 hi