Fill-Mask
Transformers
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Safetensors
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@@ -106,14 +106,24 @@ The Swiss German adapter was trained on the following two datasets of written Sw
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  ## Citations
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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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  ```
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  ## Citations
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  ```bibtex
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+ @inproceedings{vamvas-etal-2023-swissbert,
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+ title = "{S}wiss{BERT}: The Multilingual Language Model for {S}witzerland",
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+ author = {Vamvas, Jannis and
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+ Gra{\"e}n, Johannes and
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+ Sennrich, Rico},
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+ editor = {Ghorbel, Hatem and
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+ Sokhn, Maria and
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+ Cieliebak, Mark and
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+ H{\"u}rlimann, Manuela and
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+ de Salis, Emmanuel and
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+ Guerne, Jonathan},
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+ booktitle = "Proceedings of the 8th edition of the Swiss Text Analytics Conference",
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+ month = jun,
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+ year = "2023",
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+ address = "Neuchatel, Switzerland",
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+ publisher = "Association for Computational Linguistics",
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+ url = "https://aclanthology.org/2023.swisstext-1.6",
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+ pages = "54--69",
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  }
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  ```
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