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@@ -30,18 +30,5 @@ model = AutoModelForMaskedLM.from_pretrained("jannikskytt/MeDa-Bert")
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  ### Citing
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  ```
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- @inproceedings{pedersen-etal-2023-meda,
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- title = "{M}e{D}a-{BERT}: A medical {D}anish pretrained transformer model",
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- author = "Pedersen, Jannik and
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- Laursen, Martin and
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- Vinholt, Pernille and
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- Savarimuthu, Thiusius Rajeeth",
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- booktitle = "Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)",
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- month = may,
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- year = "2023",
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- address = "T{\'o}rshavn, Faroe Islands",
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- publisher = "University of Tartu Library",
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- url = "https://aclanthology.org/2023.nodalida-1.31",
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- pages = "301--307",
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- }
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  ```
 
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  ### Citing
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  ```
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+ Jannik Pedersen, Martin Laursen, Pernille Vinholt, and Thiusius Rajeeth Savarimuthu. 2023. MeDa-BERT: A medical Danish pretrained transformer model. In Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa), pages 301–307, Tórshavn, Faroe Islands. University of Tartu Library.
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ```