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HashNuke
/
indic-ocr-mlx

Image-Text-to-Text
Safetensors
MLX
mlx-vlm
indic_ocr
ocr
document-parsing
layout-analysis
reading-order
indic
Model card Files Files and versions
xet
Community

Instructions to use HashNuke/indic-ocr-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • MLX

    How to use HashNuke/indic-ocr-mlx with MLX:

    # Make sure mlx-vlm is installed
    # pip install --upgrade mlx-vlm
    
    from mlx_vlm import load, generate
    from mlx_vlm.prompt_utils import apply_chat_template
    from mlx_vlm.utils import load_config
    
    # Load the model
    model, processor = load("HashNuke/indic-ocr-mlx")
    config = load_config("HashNuke/indic-ocr-mlx")
    
    # Prepare input
    image = ["http://images.cocodataset.org/val2017/000000039769.jpg"]
    prompt = "Describe this image."
    
    # Apply chat template
    formatted_prompt = apply_chat_template(
        processor, config, prompt, num_images=1
    )
    
    # Generate output
    output = generate(model, processor, formatted_prompt, image)
    print(output)
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • LM Studio
  • Atomic Chat
indic-ocr-mlx
1.9 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
HashNuke's picture
HashNuke
Clarify IndicOCR usage and stage loading
3ca5518 verified 2 days ago
  • weights
    Clarify IndicOCR usage and stage loading 2 days ago
  • .gitattributes
    1.58 kB
    Add MLX weights and pipeline config 3 days ago
  • LICENSE.md
    25.5 kB
    Rename LICENSE to LICENSE.md 3 days ago
  • README.md
    3.76 kB
    Clarify IndicOCR usage and stage loading 2 days ago
  • config.json
    609 Bytes
    Add MLX weights and pipeline config 3 days ago