Fill-Mask
Transformers
PyTorch
Safetensors
xmod
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@@ -93,4 +93,17 @@ SwissBERT is not designed for generating text.
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  - Site: Zurich, Switzerland.
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  - Energy source: 100% hydropower ([source](https://t.uzh.ch/1rU))
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  - Carbon efficiency: 0.0016 kg CO2e/kWh ([source](https://t.uzh.ch/1rU))
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- - Carbon emitted: 0.6 kg CO2e ([source](https://mlco2.github.io/impact#compute))
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - Site: Zurich, Switzerland.
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  - Energy source: 100% hydropower ([source](https://t.uzh.ch/1rU))
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  - Carbon efficiency: 0.0016 kg CO2e/kWh ([source](https://t.uzh.ch/1rU))
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+ - Carbon emitted: 0.6 kg CO2e ([source](https://mlco2.github.io/impact#compute))
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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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+ ```