Image-Text-to-Text
Safetensors
MLX
mlx-vlm
indic_ocr
ocr
document-parsing
layout-analysis
reading-order
indic
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
Commit History
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Support standard mlx-vlm model loading
Akash ManoharUnverified signatureEmbed the layout and OCR configurations and add a standard safetensors index for the existing stage files. Map tensor keys to their parser submodules and document direct load_model usage without a preparation step.04cb39f
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Clarify IndicOCR usage and stage loading
Verified signatureDocument page parsing and standalone stage inference. Correct model metadata, license links, and validation scope.3ca5518 -
Upload folder using huggingface_hub
Verified signature6a0d82c -
Add MLX weights and pipeline config
Verified signaturecbcbaad -
Rename LICENSE to LICENSE.md
Verified signature27b0cf9 -
Update LICENSE file with Indic Open Model License
Verified signature147704b -
initial commit
Verified signatureb68daba