An OCR model trained on the GoogleBooks Dataset using a CRNN architecture. We use the following architecture identifiers:
- E: Easter2 (https://huggingface.co/BDRC/GoogleBooks_E_v1)
- C: CRNN (this model)
- T: TrOCR -> version 1 (https://huggingface.co/BDRC/GoogleBooks_T_v1) and version 2 (https://huggingface.co/BDRC/GoogleBooks_T_v2). Version two is the recommended checkpoint if you want to run inferences. It was trained a little longer using the same data distribution. We keep v1 in oder to evaluate the actual differences on the predictions.
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