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README.md

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+# GLM-OCR to CoreML conversion
+
+Notebooks and assets to convert [GLM-OCR](https://huggingface.co/aoiandroid/GLM-OCR) to CoreML for iOS/macOS.
+
+## Contents
+
+- **glm_ocr_coreml_v4.ipynb** – Main conversion notebook (vision encoder + optional decoder, quantization, accuracy check). Use this.
+- **glm_ocr_coreml.ipynb** – Older notebook variant.
+- **glm_ocr_coreml_requirements.txt** – Python dependencies (Python 3.10+ recommended; transformers main branch required for GLM-OCR).
+
+## Requirements
+
+- Python 3.10+
+- PyTorch, transformers (from [main](https://github.com/huggingface/transformers)), coremltools 7.2+
+
+## Quick start
+
+1. Create a venv with Python 3.10+ and install:
+   ```bash
+   pip install -r glm_ocr_coreml_requirements.txt
+   pip install "git+https://github.com/huggingface/transformers.git@main"
+   ```
+2. Open `glm_ocr_coreml_v4.ipynb` and run cells top to bottom.
+3. Outputs go to `glm_ocr_coreml/` (vision_encoder.mlpackage, model_spec.json, etc.).
+
+## Note
+
+- `.venv_glm_ocr` is not included; create your own venv with Python 3.10+.
+- Converted `.mlpackage` files can be uploaded separately if needed (they are large).