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deepseek-community
/
DeepSeek-OCR-2

Image-Text-to-Text
Transformers
Safetensors
multilingual
deepseek_ocr2
deepseek
vision-language
ocr
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    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
  • 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
6.79 GB
Ctrl+K
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  • 1 contributor
History: 7 commits
thisisiron's picture
thisisiron
Sync converted config and weights from native transformers convert script (drop auto_map, fix vision_config.model_type, strip original-config junk)
838dc37 verified 3 days ago
  • .gitattributes
    1.52 kB
    initial commit 6 days ago
  • README.md
    4.47 kB
    Update README.md 3 days ago
  • config.json
    4.47 kB
    Sync converted config and weights from native transformers convert script (drop auto_map, fix vision_config.model_type, strip original-config junk) 3 days ago
  • generation_config.json
    116 Bytes
    Upload DeepseekOcr2ForConditionalGeneration 6 days ago
  • model.safetensors
    6.78 GB
    xet
    Upload DeepseekOcr2ForConditionalGeneration 6 days ago
  • processor_config.json
    682 Bytes
    Upload processor 6 days ago
  • tokenizer.json
    9.98 MB
    Upload tokenizer 6 days ago
  • tokenizer_config.json
    498 Bytes
    Upload tokenizer 6 days ago