Dorito

Three recovered line OCR checkpoints: CNN + BiLSTM + CTC (step 58,000), CNN + BiGRU + CTC (step 8,500), and CNN + Transformer Encoder + CTC (step 87,000). All weights load strictly and CPU inference was executed. Checkpoints contain weights and metadata; optimizer/RNG states were removed. They are for inference and weight initialization, not exact optimizer-state resumption. Open CompareModels.ipynb in Google Colab and Run all. No GPU or Hugging Face account is required. It displays images, expected answers and actual predictions. Optional own-image upload is disabled by default. The 20 demo images were selected from 40 screened printed validation examples because the Transformer predicted…

Screened 500 unique printed validation images using the three saved models. Selected exact matches: Transformer 380, BiLSTM 273, BiGRU 70. 49 images were correct for all three. These sets overlap; there are 426 selected unique images in total. These are selected demonstration examples, not overall accuracy or a fair benchmark. Open expanded live demo in Colab. Run all, choose a model and image, then click Run real prediction. CPU is sufficient. Download the gallery and image folders. Unzip it and open Gallery.html. Choose a model, or choose Correct for all three models. The allthree folder contains the 49 common exact-match images; individual model folders include more examples and…