Add PyLaia model trained on NorHand v3

README.md

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 ---
+library_name: PyLaia
 license: mit
+tags:
+- PyLaia
+- PyTorch
+- Handwritten text recognition
+metrics:
+- CER
+- WER
+language:
+- 'no'
 ---
+
+# NorHand v3 handwritten text recognition
+
+This model performs Handwritten Text Recognition in Norwegian on historical documents.
+
+## Model description
+
+The model was trained using the PyLaia library on the [NorHand v3 dataset](https://zenodo.org/records/10255840).
+
+For training, text-lines were resized with a fixed height of 128 pixels, keeping the original aspect ratio. Vertical lines are discarded.
+
+| split | N lines | N horizontal lines |
+| ----- | ------: | -----------------: |
+| train | 224,173 |            223,971 |
+| val   |  22,828 |             22,811 |
+| test  |   1,573 |              1,573 |
+
+An external 6-gram character language model can be used to improve recognition. The language model is trained on the text from the NorHand v3 training set.
+
+## Evaluation results
+
+The model achieves the following results:
+
+| set   | Language model | CER (%)    | WER (%) | N lines   |
+|:------|:---------------|:----------:|:-------:|----------:|
+| test  | no             | 7.52       |   22.99 |     1,573 |
+| test  | yes            | 6.36       |   18.11 |     1,573 |
+
+## How to use
+
+Please refer to the [documentation](https://atr.pages.teklia.com/pylaia/).

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weights.ckpt

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