metadata
license: cc-by-4.0
language:
- bo
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.