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@@ -28,6 +28,8 @@ Line bounding boxes were improved using a post-processing step.
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  Training images were resized with a fixed height of 128 pixels, keeping the original aspect ratio.
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  ## Evaluation results
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  The model achieves the following results:
@@ -41,8 +43,6 @@ The model achieves the following results:
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  | test | no | 7.81 | 23.30 |
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  | test | yes | 6.75 | 18.22 |
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- An external 6-gram character language model can be used to improve recognition. The language model is trained on [this text corpus](https://www.nb.no/sprakbanken/en/resource-catalogue/oai-nb-no-sbr-73/) published by the National Library of Norway.
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  ## How to use?
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  Please refer to the [PyLaia documentation](https://atr.pages.teklia.com/pylaia/usage/prediction/) to use this model.
 
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  Training images were resized with a fixed height of 128 pixels, keeping the original aspect ratio.
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+ An external 6-gram character language model can be used to improve recognition. The language model is trained on [this text corpus](https://www.nb.no/sprakbanken/en/resource-catalogue/oai-nb-no-sbr-73/) published by the National Library of Norway.
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+
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  ## Evaluation results
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  The model achieves the following results:
 
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  | test | no | 7.81 | 23.30 |
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  | test | yes | 6.75 | 18.22 |
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  ## How to use?
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  Please refer to the [PyLaia documentation](https://atr.pages.teklia.com/pylaia/usage/prediction/) to use this model.