add-model (#1)

- Add files for PyLaia IAM model (9343926ca2eeb8dfcf5f8b47432cc4cfe428583f)
- Link to paper (5254ab2b3f4d56c8d71dbca55282ed3c4d497b22)


Co-authored-by: Schneider <[email protected]>

README.md

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 ---
+library_name: PyLaia
 license: mit
+tags:
+- PyLaia
+- PyTorch
+- Handwritten text recognition
+metrics:
+- CER
+- WER
+language:
+- en
 ---
+
+# English printed text recognition
+
+This model performs Handwritten Text Recognition in English. 
+
+## Model description
+
+The model has been trained using the PyLaia library on the [IAM](https://fki.tic.heia-fr.ch/databases/iam-handwriting-database) dataset.
+Training images were resized with a fixed height of 128 pixels, keeping the original aspect ratio.
+
+
+## Evaluation results
+
+The model achieves the following results:
+
+| Split | CER (%) | WER (%) | Support |
+| ----- | ------- | ------- | ------- |
+| train | 0.32    | 1.26    | 6482    |
+| val   | 6.50    | 19.12   | 1926    |
+| test  | 7.68    | 19.82   | 1965    |
+
+These results were published [Key-value information extraction from full
+handwritten pages](https://arxiv.org/pdf/2304.13530.pdf).
+
+Results can be improved by combining PyLaia with a n-gram language model. 
+
+## How to use
+
+Please refer to the [documentation](https://atr.pages.teklia.com/pylaia/).

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weights.ckpt

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