Update README.md

README.md

@@ -27,4 +27,27 @@ IceBERT was trained with fairseq using the RoBERTa-base architecture. The traini
 | Open Icelandic e-books (Rafbókavefurinn)             | 14 MB   | 2.6M   |
 | Data from the medical library of Landspitali         | 33 MB   | 5.2M   |
 | Student theses from Icelandic universities (Skemman) | 2.2 GB  | 367M   |
-| Total                                                | 15.8 GB | 2,664M |
+| Total                                                | 15.8 GB | 2,664M |
+
+
+If you find this model useful, please cite
+
+```
+@inproceedings{snaebjarnarson-etal-2022-warm,
+    title = "A Warm Start and a Clean Crawled Corpus - A Recipe for Good Language Models",
+    author = "Sn{\ae}bjarnarson, V{\'e}steinn  and
+      S{\'\i}monarson, Haukur Barri  and
+      Ragnarsson, P{\'e}tur Orri  and
+      Ing{\'o}lfsd{\'o}ttir, Svanhv{\'\i}t Lilja  and
+      J{\'o}nsson, Haukur  and
+      Thorsteinsson, Vilhjalmur  and
+      Einarsson, Hafsteinn",
+    booktitle = "Proceedings of the Thirteenth Language Resources and Evaluation Conference",
+    month = jun,
+    year = "2022",
+    address = "Marseille, France",
+    publisher = "European Language Resources Association",
+    url = "https://aclanthology.org/2022.lrec-1.464",
+    pages = "4356--4366",
+}
+```