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README.md

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+# GLM-OCR ONNX (Decoder)
+
+ONNX export of the **decoder** of [zai-org/GLM-OCR](https://huggingface.co/zai-org/GLM-OCR). Exported with `scripts/export_glm_ocr_onnx.py` (Transformers 5.1.0, custom torch.onnx path).
+
+## Contents
+
+- `glm_ocr_decoder.onnx` / `glm_ocr_decoder.onnx.data` – Decoder ONNX (inputs: `decoder_input_ids`, `encoder_hidden_states`; output: `logits`).
+- `tokenizer.json`, `tokenizer_config.json` – Tokenizer from zai-org/GLM-OCR.
+
+## Note
+
+The **vision encoder** was not exported (model forward requires either `input_ids` or `inputs_embeds` when called with image inputs only). To run full OCR you need encoder hidden states from another source or the original PyTorch model for the vision part.
+
+## Usage
+
+Load with ONNX Runtime; feed `encoder_hidden_states` (from your vision encoder or zai-org/GLM-OCR in PyTorch) and `decoder_input_ids`; get `logits` and decode with the included tokenizer.
+
+## Source
+
+- Base model: [zai-org/GLM-OCR](https://huggingface.co/zai-org/GLM-OCR)
+- Export spec: See [Docs/GLM_OCR_ONNX_Export.md](https://github.com/...) in the TranslateBlue repo.