metadata
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. 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
- Export spec: See Docs/GLM_OCR_ONNX_Export.md in the TranslateBlue repo.