Instructions to use deepseek-community/DeepSeek-OCR-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use deepseek-community/DeepSeek-OCR-2 with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("image-text-to-text", model="deepseek-community/DeepSeek-OCR-2")

# Load model directly
from transformers import AutoProcessor, AutoModelForImageTextToText

processor = AutoProcessor.from_pretrained("deepseek-community/DeepSeek-OCR-2")
model = AutoModelForImageTextToText.from_pretrained("deepseek-community/DeepSeek-OCR-2")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use deepseek-community/DeepSeek-OCR-2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "deepseek-community/DeepSeek-OCR-2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "deepseek-community/DeepSeek-OCR-2",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/deepseek-community/DeepSeek-OCR-2

SGLang

How to use deepseek-community/DeepSeek-OCR-2 with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "deepseek-community/DeepSeek-OCR-2" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "deepseek-community/DeepSeek-OCR-2",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "deepseek-community/DeepSeek-OCR-2" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "deepseek-community/DeepSeek-OCR-2",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use deepseek-community/DeepSeek-OCR-2 with Docker Model Runner:
```
docker model run hf.co/deepseek-community/DeepSeek-OCR-2
```

DeepSeek-OCR-2

File size: 682 Bytes

5f33379

{
  "downsample_ratio": 4,
  "image_processor": {
    "background_color": [
      127,
      127,
      127
    ],
    "crop_to_patches": true,
    "do_convert_rgb": true,
    "do_normalize": true,
    "do_rescale": true,
    "do_resize": true,
    "image_mean": [
      0.5,
      0.5,
      0.5
    ],
    "image_processor_type": "DeepseekOcr2ImageProcessor",
    "image_std": [
      0.5,
      0.5,
      0.5
    ],
    "max_patches": 6,
    "min_patches": 2,
    "resample": 3,
    "rescale_factor": 0.00392156862745098,
    "size": {
      "height": 1024,
      "width": 1024
    },
    "tile_size": 768
  },
  "patch_size": 16,
  "processor_class": "DeepseekOcr2Processor"
}