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culturalheritagenus
/
Jawi-OCR-Qwen-v1

Image-Text-to-Text
Transformers
Safetensors
qwen2_vl
OCR
text-generation-inference
Model card Files Files and versions
xet
Community

Instructions to use culturalheritagenus/Jawi-OCR-Qwen-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use culturalheritagenus/Jawi-OCR-Qwen-v1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-text-to-text", model="culturalheritagenus/Jawi-OCR-Qwen-v1")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForMultimodalLM
    
    processor = AutoProcessor.from_pretrained("culturalheritagenus/Jawi-OCR-Qwen-v1")
    model = AutoModelForMultimodalLM.from_pretrained("culturalheritagenus/Jawi-OCR-Qwen-v1", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • vLLM

    How to use culturalheritagenus/Jawi-OCR-Qwen-v1 with vLLM:

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

    How to use culturalheritagenus/Jawi-OCR-Qwen-v1 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 "culturalheritagenus/Jawi-OCR-Qwen-v1" \
        --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": "culturalheritagenus/Jawi-OCR-Qwen-v1",
    		"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 "culturalheritagenus/Jawi-OCR-Qwen-v1" \
            --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": "culturalheritagenus/Jawi-OCR-Qwen-v1",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
  • Docker Model Runner

    How to use culturalheritagenus/Jawi-OCR-Qwen-v1 with Docker Model Runner:

    docker model run hf.co/culturalheritagenus/Jawi-OCR-Qwen-v1
Jawi-OCR-Qwen-v1
8.84 GB
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  • 3 contributors
History: 15 commits
mevsg's picture
mevsg
Update README.md
7817f92 verified 8 months ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • .gitignore
    4 Bytes
    feat: gitignore about 1 year ago
  • README.md
    3.46 kB
    Update README.md 8 months ago
  • config.json
    2.18 kB
    Upload Qwen2VLForConditionalGeneration 8 months ago
  • generation_config.json
    219 Bytes
    Upload Qwen2VLForConditionalGeneration 8 months ago
  • handler.py
    3.73 kB
    feat: endpoint handler class about 1 year ago
  • model-00001-of-00002.safetensors
    4.97 GB
    xet
    Upload Qwen2VLForConditionalGeneration 8 months ago
  • model-00002-of-00002.safetensors
    3.86 GB
    xet
    Upload Qwen2VLForConditionalGeneration 8 months ago
  • model.safetensors.index.json
    56.4 kB
    Upload Qwen2VLForConditionalGeneration 8 months ago
  • requirements.txt
    265 Bytes
    fix: fix reqs with extra url about 1 year ago
  • test_handler.py
    56.8 kB
    test: test file about 1 year ago