docparser-models

ONNX exports of PaddlePaddle document models, one flat file per model. MANIFEST.txt lists the sha256 of every file. All files are Apache-2.0.

File	Model	Source
PP-DocLayoutV3_fp32_batchable.onnx	layout detection	PaddlePaddle/PP-DocLayoutV3_onnx, output reshaped to [B,300,7]
PP-OCRv6_{tiny,small,medium}_det.onnx	text detection	PaddlePaddle/PP-OCRv6_*_det_onnx, unchanged
PP-OCRv6_{tiny,small,medium}_rec_ctc.onnx	text recognition	PaddlePaddle/PP-OCRv6_*_rec_onnx, plus ctc_idx / ctc_prob outputs (argmax and max over the class axis)
SLANet_plus_encoder.onnx, SLANet_plus_decoder.bin	table structure	PaddlePaddle/SLANet_plus_onnx: the encoder graph, and the GRU decoder's weights as raw float32
PP-FormulaNet_plus-{M,S}_{encoder,prep,decoder_step}.onnx, _tokenizer.json	formula recognition	PaddlePaddle/PP-FormulaNet_plus-M / -S, split into encoder, cross-attention precompute and one greedy decoder step over a static KV cache

Pre- and post-processing follow each source model's inference.yml.