Add the POPP PyLaia model

README.md

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 ---
+library_name: PyLaia
 license: mit
+tags:
+- PyLaia
+- PyTorch
+- Handwritten text recognition
+metrics:
+- CER
+- WER
+language:
+- 'fr'
 ---
+
+# POPP handwritten text recognition
+
+This model performs Handwritten Text Recognition on French census documents.
+
+## Model description
+
+The model was trained using the PyLaia library on the [POPP generic](https://github.com/Shulk97/POPP-datasets/).
+
+For training, text-lines were resized with a fixed height of 128 pixels, keeping the original aspect ratio. 
+
+An external 6-gram character language model can be used to improve recognition. The language model is trained on the text from the POPP training set.
+
+## Evaluation results
+
+The model achieves the following results:
+
+| set   | Language model | CER (%)    | WER (%) | N lines   |
+|:------|:---------------|:----------:|:-------:|----------:|
+| test  | no             | 16.49      |   36.26 |     479   |
+| test  | yes            | 16.09      |   34.52 |     479   |
+
+## How to use
+
+Please refer to the [documentation](https://atr.pages.teklia.com/pylaia/).

language_model.arpa.gz

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