Add the PyLaia model trained on Himanis

README.md

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 ---
+library_name: PyLaia
 license: mit
+tags:
+- PyLaia
+- PyTorch
+- Handwritten text recognition
+metrics:
+- CER
+- WER
+language:
+- 'fr'
 ---
+
+# Himanis handwritten text recognition
+
+This model performs Handwritten Text Recognition in French on medieval documents.
+
+## Model description
+
+The model was trained using the PyLaia library on two medieval datasets:
+* [Himanis](https://demo.arkindex.org/browse/5000e248-a624-4df1-8679-1b34679817ef?top_level=true&folder=true) (French)
+* [HOME Alcar](https://demo.arkindex.org/browse/46b9b1f4-baeb-4342-a501-e2f15472a276?top_level=true&folder=true) (Latin)
+
+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 Himanis training set.
+
+## Evaluation results
+
+The model achieves the following results:
+
+| set   | Language model | CER (%)    | WER (%) | N lines   |
+|:------|:---------------|:----------:|:-------:|----------:|
+| test  | no             | 9.87       |   29.25 |      2241 |
+| test  | yes            | 8.87       |   24.37 |      2241 |
+
+## How to use
+
+Please refer to the [documentation](https://atr.pages.teklia.com/pylaia/).
+

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weights.ckpt

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