Delete .ipynb_checkpoints/README-checkpoint.md (Duplicate, Junk)

.ipynb_checkpoints/README-checkpoint.md

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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!