Token Classification
Transformers
PyTorch
Safetensors
xmod
named-entity-recognition
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@@ -54,4 +54,17 @@ Output:
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  'word': 'Lausanne',
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  'start': 10,
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  'end': 19}]
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- ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  'word': 'Lausanne',
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  'start': 10,
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  'end': 19}]
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+ ```
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+
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+ ## Citation
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+ ```bibtex
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+ @article{vamvas-etal-2023-swissbert,
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+ title={Swiss{BERT}: The Multilingual Language Model for Switzerland},
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+ author={Jannis Vamvas and Johannes Gra\"en and Rico Sennrich},
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+ year={2023},
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+ eprint={2303.13310},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CL},
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+ url={https://arxiv.org/abs/2303.13310}
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+ }
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+ ```