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wormocr-9M
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wormocr-9M
8,776,416 parameters. Same printed-and-handwriting training mix as wormocr-2M, larger CRNN (input height 48, BiGRU 512).
- Best checkpoint: training step 19,000 (run early-stopped at 30,000)
- Mixed validation CER: 0.0742
- ONNX max abs diff vs PyTorch: 1.24e-5
- Does not replace wormocr-2M; download either model
Download
wormocr download wormocr-9M
Measured CER (greedy, 6 Nov 2026, RTX 5060)
| Set | wormocr-2M | wormocr-9M |
|---|---|---|
| Printed synthetic | 3.1% | 3.7% |
| FUNSD (eval only) | 11.5% | 10.2% |
| CORD | 3.7% | 3.1% |
| Synthetic handwriting | 9.2% | 7.1% |
| Handwritten names | 5.3% | 5.3% |
| GNHK | 23.3% | 19.2% |
| IAM (eval only) | 22.4% | 18.3% |
| Bentham | 15.1% | 8.8% |
| RxHand case-insensitive (eval only) | 37.9% | 35.2% |
Assets
wormocr-9M.safetensors(33.5 MB)wormocr-9M.jsonwormocr-9M.onnx(33.5 MB)SHA256SUMS.txt