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@@ -41,3 +41,20 @@ The model was trained on the data shown in the table below. Batch size was 8.8k,
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  Note: At an earlier date a half trained model went up here, it has since been removed. The model has since been updated.
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  This is a Scandinavian BERT model trained on a large collection of Danish, Faroese, Icelandic, Norwegian and Swedish text. It is currently the highest ranking model on the ScandEval leaderbord https://scandeval.github.io/pretrained/
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  Note: At an earlier date a half trained model went up here, it has since been removed. The model has since been updated.
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  This is a Scandinavian BERT model trained on a large collection of Danish, Faroese, Icelandic, Norwegian and Swedish text. It is currently the highest ranking model on the ScandEval leaderbord https://scandeval.github.io/pretrained/
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+
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+ If you find this model useful, please cite
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+
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+ ```
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+ @inproceedings{snaebjarnarson-etal-2023-transfer,
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+ title = "{T}ransfer to a Low-Resource Language via Close Relatives: The Case Study on Faroese",
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+ author = "Snæbjarnarson, Vésteinn and
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+ Simonsen, Annika and
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+ Glavaš, Goran and
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+ Vulić, Ivan",
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+ booktitle = "Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)",
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+ month = "may 22--24",
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+ year = "2023",
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+ address = "Tórshavn, Faroe Islands",
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+ publisher = {Link{\"o}ping University Electronic Press, Sweden},
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+ }
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+ ```