---
license: cc-by-4.0
language:
- bo
---
An OCR model trained on the [GoogleBooks Dataset](https://huggingface.co/datasets/ta4tsering/Google_Books_datasets) 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.