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+---
+pipeline_tag: image-text-to-text
+language:
+- multilingual
+tags:
+- deepseek
+- vision-language
+- ocr
+- custom_code
+license: mit
+---
+<div align="center">
+  <img src="https://github.com/deepseek-ai/DeepSeek-V2/blob/main/figures/logo.svg?raw=true" width="60%" alt="DeepSeek AI" />
+</div>
+<hr>
+<div align="center">
+  <a href="https://www.deepseek.com/" target="_blank">
+    <img alt="Homepage" src="https://github.com/deepseek-ai/DeepSeek-V2/blob/main/figures/badge.svg?raw=true" />
+  </a>
+  <a href="https://huggingface.co/deepseek-ai/DeepSeek-OCR" target="_blank">
+    <img alt="Hugging Face" src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-DeepSeek%20AI-ffc107?color=ffc107&logoColor=white" />
+  </a>
+
+</div>
+
+<div align="center">
+
+  <a href="https://discord.gg/Tc7c45Zzu5" target="_blank">
+    <img alt="Discord" src="https://img.shields.io/badge/Discord-DeepSeek%20AI-7289da?logo=discord&logoColor=white&color=7289da" />
+  </a>
+  <a href="https://twitter.com/deepseek_ai" target="_blank">
+    <img alt="Twitter Follow" src="https://img.shields.io/badge/Twitter-deepseek_ai-white?logo=x&logoColor=white" />
+  </a>
+
+</div>
+
+
+
+<p align="center">
+  <a href="https://github.com/deepseek-ai/DeepSeek-OCR"><b>🌟 Github</b></a> |
+  <a href="https://huggingface.co/deepseek-ai/DeepSeek-OCR"><b>📥 Model Download</b></a> |
+  <a href="https://github.com/deepseek-ai/DeepSeek-OCR/blob/main/DeepSeek_OCR_paper.pdf"><b>📄 Paper Link</b></a> |
+  <a href=""><b>📄 Arxiv Paper Link</b></a> |
+</p>
+<h2>
+<p align="center">
+  <a href="">DeepSeek-OCR: Contexts Optical Compression</a>
+</p>
+</h2>
+<p align="center">
+<img src="assets/fig1.png" style="width: 1000px" align=center>
+</p>
+<p align="center">
+<a href="">Explore the boundaries of visual-text compression.</a>       
+</p>
+
+## Usage
+Inference using Huggingface transformers on NVIDIA GPUs. Requirements tested on python 3.12.9 + CUDA11.8：
+
+```
+torch==2.6.0
+transformers==4.46.3
+tokenizers==0.20.3
+einops
+addict 
+easydict
+pip install flash-attn==2.7.3 --no-build-isolation
+```
+
+```python
+from transformers import AutoModel, AutoTokenizer
+import torch
+import os
+os.environ["CUDA_VISIBLE_DEVICES"] = '0'
+model_name = 'deepseek-ai/DeepSeek-OCR'
+
+tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True)
+model = AutoModel.from_pretrained(model_name, _attn_implementation='flash_attention_2', trust_remote_code=True, use_safetensors=True)
+model = model.eval().cuda().to(torch.bfloat16)
+
+# prompt = "<image>\nFree OCR. "
+prompt = "<image>\n<|grounding|>Convert the document to markdown. "
+image_file = 'your_image.jpg'
+output_path = 'your/output/dir'
+
+# infer(self, tokenizer, prompt='', image_file='', output_path = ' ', base_size = 1024, image_size = 640, crop_mode = True, test_compress = False, save_results = False):
+
+# Tiny: base_size = 512, image_size = 512, crop_mode = False
+# Small: base_size = 640, image_size = 640, crop_mode = False
+# Base: base_size = 1024, image_size = 1024, crop_mode = False
+# Large: base_size = 1280, image_size = 1280, crop_mode = False
+
+# Gundam: base_size = 1024, image_size = 640, crop_mode = True
+
+res = model.infer(tokenizer, prompt=prompt, image_file=image_file, output_path = output_path, base_size = 1024, image_size = 640, crop_mode=True, save_results = True, test_compress = True)
+```
+
+## vLLM
+Refer to [🌟GitHub](https://github.com/deepseek-ai/DeepSeek-OCR/) for guidance on model inference acceleration and PDF processing, etc.<!--  -->
+
+## Visualizations
+<table>
+<tr>
+<td><img src="assets/show1.jpg" style="width: 500px"></td>
+<td><img src="assets/show2.jpg" style="width: 500px"></td>
+</tr>
+<tr>
+<td><img src="assets/show3.jpg" style="width: 500px"></td>
+<td><img src="assets/show4.jpg" style="width: 500px"></td>
+</tr>
+</table>
+
+
+## Acknowledgement
+
+We would like to thank [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), [OneChart](https://github.com/LingyvKong/OneChart), [Slow Perception](https://github.com/Ucas-HaoranWei/Slow-Perception) for their valuable models and ideas.
+
+We also appreciate the benchmarks: [Fox](https://github.com/ucaslcl/Fox), [OminiDocBench](https://github.com/opendatalab/OmniDocBench).
+
+
+## Citation
+Coming soon!