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baidu
/
Unlimited-OCR

Image-Text-to-Text
Transformers
Safetensors
multilingual
unlimited-ocr
feature-extraction
baidu
vision-language
ocr
custom_code
Eval Results
Model card Files Files and versions
xet
Community
4

Instructions to use baidu/Unlimited-OCR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use baidu/Unlimited-OCR with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-text-to-text", model="baidu/Unlimited-OCR", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("baidu/Unlimited-OCR", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • vLLM

    How to use baidu/Unlimited-OCR with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "baidu/Unlimited-OCR"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "baidu/Unlimited-OCR",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
    Use Docker
    docker model run hf.co/baidu/Unlimited-OCR
  • SGLang

    How to use baidu/Unlimited-OCR 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 "baidu/Unlimited-OCR" \
        --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": "baidu/Unlimited-OCR",
    		"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 "baidu/Unlimited-OCR" \
            --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": "baidu/Unlimited-OCR",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
  • Docker Model Runner

    How to use baidu/Unlimited-OCR with Docker Model Runner:

    docker model run hf.co/baidu/Unlimited-OCR
Unlimited-OCR
6.78 GB
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  • 1 contributor
History: 5 commits
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HYPERUU
Update README.md
3a7f4db verified 1 day ago
  • assets
    Initial commit 4 days ago
  • wheel
    Initial commit 4 days ago
  • .gitattributes
    302 Bytes
    Initial commit 4 days ago
  • LICENSE
    1.06 kB
    Initial commit 4 days ago
  • README.md
    8.72 kB
    Update README.md 1 day ago
  • Unlimited-OCR.pdf
    460 kB
    xet
    Initial commit 4 days ago
  • config.json
    2.88 kB
    Initial commit 4 days ago
  • configuration_deepseek_v2.py
    10.7 kB
    Initial commit 4 days ago
  • conversation.py
    9.25 kB
    Initial commit 4 days ago
  • deepencoder.py
    38 kB
    Initial commit 4 days ago
  • model-00001-of-000001.safetensors
    6.67 GB
    xet
    Initial commit 4 days ago
  • model.safetensors.index.json
    258 kB
    Initial commit 4 days ago
  • modeling_deepseekv2.py
    90.2 kB
    Initial commit 4 days ago
  • modeling_unlimitedocr.py
    53.4 kB
    Initial commit 4 days ago
  • processor_config.json
    466 Bytes
    Initial commit 4 days ago
  • special_tokens_map.json
    801 Bytes
    Initial commit 4 days ago
  • tokenizer.json
    9.98 MB
    Initial commit 4 days ago
  • tokenizer_config.json
    166 kB
    Initial commit 4 days ago