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@@ -218,3 +218,17 @@ The following hyperparameters were used during training:
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  - Pytorch 2.2.1+cu121
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  - Datasets 2.18.0
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  - Tokenizers 0.15.2
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - Pytorch 2.2.1+cu121
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  - Datasets 2.18.0
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  - Tokenizers 0.15.2
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+
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+ # Citation
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+
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+ Please consider citing our paper if this model has helped you:
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+
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+ ```
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+ @inproceedings{frohman-etal-2024-segment,
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+ title = "Segment Any Text: A Universal Approach for Robust, Efficient and Adaptable Sentence Segmentation",
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+ author={Markus Frohmann and Igor Sterner and Ivan Vulić and Benjamin Minixhofer and Markus Schedl},
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+ month = nov,
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+ year = "2024",
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+ publisher = "Association for Computational Linguistics",
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+ }
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+ ```