Update README.md

README.md

@@ -43,6 +43,5 @@ model = AutoModelForMaskedLM.from_pretrained("jannikskytt/MeDa-Bert")
     publisher = "University of Tartu Library",
     url = "https://aclanthology.org/2023.nodalida-1.31",
     pages = "301--307",
-    abstract = "This paper introduces a medical Danish BERT-based language model (MeDa-BERT) and medical Danish word embeddings. The word embeddings and MeDa-BERT were pretrained on a new medical Danish corpus consisting of 133M tokens from medical Danish books and text from the internet. The models showed improved performance over general-domain models on medical Danish classification tasks. The medical word embeddings and MeDa-BERT are publicly available.",
 }
 ```