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@@ -16,8 +16,8 @@ We first pretrained the model with 2 million sentences from Dutch historical nov
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  Afterward, we finetuned the model with a 10k dataset consisting of 19th-century Dutch sentences;
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  these sentences were automatically annotated by a rule-based system built for 19th-century Dutch spelling normalization (van Cranenburgh and van Noord, 2022).
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- The finetuned model is only available in the TensorFlow format but can be converted to a Pytroch environment.
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- The pretrained only weights are available in the Pytorch environment; note that this model has to be finetuned first.
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  The pretrained only weights are available in the directory __Pretrained_ByT5__.
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  The train and validation sets used for finetuning are available in the main repository.
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  For further information about the model, please see the [GitHub](https://github.com/Awolters123/Master-Thesis) repository.
 
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  Afterward, we finetuned the model with a 10k dataset consisting of 19th-century Dutch sentences;
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  these sentences were automatically annotated by a rule-based system built for 19th-century Dutch spelling normalization (van Cranenburgh and van Noord, 2022).
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+ The finetuned model is only available in the TensorFlow format but can be converted to a PyTorch environment.
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+ The pretrained only weights are available in the PyTorch environment; note that this model has to be finetuned first.
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  The pretrained only weights are available in the directory __Pretrained_ByT5__.
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  The train and validation sets used for finetuning are available in the main repository.
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  For further information about the model, please see the [GitHub](https://github.com/Awolters123/Master-Thesis) repository.