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library_name: PyLaia
license: mit
tags:
- PyLaia
- PyTorch
- atr
- htr
- ocr
- historical
- handwritten
metrics:
- CER
- WER
language:
- fr
- la
- it
- oc
- es
datasets:
- CATMuS/medieval
pipeline_tag: image-to-text
---
# PyLaia - CATMuS/medieval
This model performs Handwritten Text Recognition in Latin/Romance on historical documents.
## Model description
The model was trained using the PyLaia library on the [CATMuS/medieval](https://huggingface.co/datasets/CATMuS/medieval) dataset.
Training images were resized with a fixed height of {dimension} pixels, keeping the original aspect ratio. Vertical lines are discarded.
| set | lines |
| :----- | ------: |
| train | 15,2816 |
| val | 19,402 |
| test | 22,590 |
An external 6-gram character language model can be used to improve recognition. The language model is trained on the text from the CATMuS/medieval training set.
## Training Plot
## How to use?
Please refer to the [PyLaia documentation](https://atr.pages.teklia.com/pylaia/usage/prediction/) to use this model.
## Demo
https://huggingface.co/spaces/johnlockejrr/yolov11_pylaia_catmus |