OCR & Document AI
Collection
OCR, Document Parsing, and Multimodal Vision models • 24 items • Updated
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).
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.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.
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.
GLM_OCR_ONNX_Export.md or equivalent).Base model
zai-org/GLM-OCR