Glm Ocr Onnx

--- license: mit pipeline_tag: image-to-text tags: - onnx - ocr - glm-ocr base_model: zai-org/GLM-OCR --- # 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 your local iOS project export notes (`GLM_OCR_ONNX_Export.md` or equivalent).

Source context: 0 downloads · 2 likes · Pipeline image-to-text · Repo aoiandroid/glm-ocr-onnx