README.md
| 1 | --- |
| 2 | pipeline_tag: image-text-to-text |
| 3 | language: |
| 4 | - multilingual |
| 5 | tags: |
| 6 | - deepseek |
| 7 | - vision-language |
| 8 | - ocr |
| 9 | - custom_code |
| 10 | license: apache-2.0 |
| 11 | library_name: transformers |
| 12 | --- |
| 13 | <div align="center"> |
| 14 | <img src="https://github.com/deepseek-ai/DeepSeek-V2/blob/main/figures/logo.svg?raw=true" width="60%" alt="DeepSeek AI" /> |
| 15 | </div> |
| 16 | <hr> |
| 17 | <div align="center"> |
| 18 | <a href="https://www.deepseek.com/" target="_blank"> |
| 19 | <img alt="Homepage" src="https://github.com/deepseek-ai/DeepSeek-V2/blob/main/figures/badge.svg?raw=true" /> |
| 20 | </a> |
| 21 | <a href="https://huggingface.co/deepseek-ai/DeepSeek-OCR-2" target="_blank"> |
| 22 | <img alt="Hugging Face" src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-DeepSeek%20AI-ffc107?color=ffc107&logoColor=white" /> |
| 23 | </a> |
| 24 | |
| 25 | </div> |
| 26 | |
| 27 | <div align="center"> |
| 28 | |
| 29 | <a href="https://discord.gg/Tc7c45Zzu5" target="_blank"> |
| 30 | <img alt="Discord" src="https://img.shields.io/badge/Discord-DeepSeek%20AI-7289da?logo=discord&logoColor=white&color=7289da" /> |
| 31 | </a> |
| 32 | <a href="https://twitter.com/deepseek_ai" target="_blank"> |
| 33 | <img alt="Twitter Follow" src="https://img.shields.io/badge/Twitter-deepseek_ai-white?logo=x&logoColor=white" /> |
| 34 | </a> |
| 35 | |
| 36 | </div> |
| 37 | |
| 38 | |
| 39 | |
| 40 | <p align="center"> |
| 41 | <a href="https://github.com/deepseek-ai/DeepSeek-OCR-2"><b>🌟 Github</b></a> | |
| 42 | <a href="https://huggingface.co/deepseek-ai/DeepSeek-OCR-2"><b>📥 Model Download</b></a> | |
| 43 | <a href="https://github.com/deepseek-ai/DeepSeek-OCR-2/blob/main/DeepSeek_OCR2_paper.pdf"><b>📄 Paper Link</b></a> | |
| 44 | <a href="https://arxiv.org/abs/2601.20552"><b>📄 Arxiv Paper Link</b></a> | |
| 45 | </p> |
| 46 | <h2> |
| 47 | <p align="center"> |
| 48 | <a href="">DeepSeek-OCR 2: Visual Causal Flow</a> |
| 49 | </p> |
| 50 | </h2> |
| 51 | <p align="center"> |
| 52 | <img src="assets/fig1.png" style="width: 900px" align=center> |
| 53 | </p> |
| 54 | <p align="center"> |
| 55 | <a href="">Explore more human-like visual encoding.</a> |
| 56 | </p> |
| 57 | |
| 58 | ## Usage |
| 59 | |
| 60 | Inference using Huggingface transformers on NVIDIA GPUs. Requirements tested on python 3.12.9 + CUDA11.8: |
| 61 | |
| 62 | ``` |
| 63 | torch==2.6.0 |
| 64 | transformers==4.46.3 |
| 65 | tokenizers==0.20.3 |
| 66 | einops |
| 67 | addict |
| 68 | easydict |
| 69 | pip install flash-attn==2.7.3 --no-build-isolation |
| 70 | ``` |
| 71 | |
| 72 | ```python |
| 73 | from transformers import AutoModel, AutoTokenizer |
| 74 | import torch |
| 75 | import os |
| 76 | os.environ["CUDA_VISIBLE_DEVICES"] = '0' |
| 77 | model_name = 'deepseek-ai/DeepSeek-OCR-2' |
| 78 | |
| 79 | tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True) |
| 80 | model = AutoModel.from_pretrained(model_name, _attn_implementation='flash_attention_2', trust_remote_code=True, use_safetensors=True) |
| 81 | model = model.eval().cuda().to(torch.bfloat16) |
| 82 | |
| 83 | # prompt = "<image>\nFree OCR. " |
| 84 | prompt = "<image>\n<|grounding|>Convert the document to markdown. " |
| 85 | image_file = 'your_image.jpg' |
| 86 | output_path = 'your/output/dir' |
| 87 | |
| 88 | |
| 89 | res = model.infer(tokenizer, prompt=prompt, image_file=image_file, output_path = output_path, base_size = 1024, image_size = 768, crop_mode=True, save_results = True) |
| 90 | ``` |
| 91 | |
| 92 | ## vLLM |
| 93 | |
| 94 | |
| 95 | Refer to [🌟GitHub](https://github.com/deepseek-ai/DeepSeek-OCR-2/) for guidance on model inference acceleration and PDF processing, etc.<!-- --> |
| 96 | |
| 97 | ## Support-Modes |
| 98 | - Dynamic resolution |
| 99 | - Default: (0-6)×768×768 + 1×1024×1024 — (0-6)×144 + 256 visual tokens ✅ |
| 100 | |
| 101 | ## Main Prompts |
| 102 | ```python |
| 103 | # document: <image>\n<|grounding|>Convert the document to markdown. |
| 104 | # without layouts: <image>\nFree OCR. |
| 105 | ``` |
| 106 | |
| 107 | |
| 108 | ## Acknowledgement |
| 109 | |
| 110 | We would like to thank [DeepSeek-OCR](https://github.com/deepseek-ai/DeepSeek-OCR/), [Vary](https://github.com/Ucas-HaoranWei/Vary/), [GOT-OCR2.0](https://github.com/Ucas-HaoranWei/GOT-OCR2.0/), [MinerU](https://github.com/opendatalab/MinerU), [PaddleOCR](https://github.com/PaddlePaddle/PaddleOCR) for their valuable models and ideas. |
| 111 | |
| 112 | We also appreciate the benchmark [OmniDocBench](https://github.com/opendatalab/OmniDocBench). |
| 113 | |
| 114 | |
| 115 | ## Citation |
| 116 | |
| 117 | ```bibtex |
| 118 | @article{wei2025deepseek, |
| 119 | title={DeepSeek-OCR: Contexts Optical Compression}, |
| 120 | author={Wei, Haoran and Sun, Yaofeng and Li, Yukun}, |
| 121 | journal={arXiv preprint arXiv:2510.18234}, |
| 122 | year={2025} |
| 123 | } |
| 124 | @article{wei2026deepseek, |
| 125 | title={DeepSeek-OCR 2: Visual Causal Flow}, |
| 126 | author={Wei, Haoran and Sun, Yaofeng and Li, Yukun}, |
| 127 | journal={arXiv preprint arXiv:2601.20552}, |
| 128 | year={2026} |
| 129 | } |