NorBERT-3

README.md

@@ -29,4 +29,16 @@ _Andrey Kutuzov, Jeremy Barnes, Erik Velldal, Lilja Øvrelid, Stephan Oepen. [La
 NorBERT was trained as a part of NorLM, a joint initiative of the projects [EOSC-Nordic](https://www.eosc-nordic.eu/) (European Open Science Cloud) and [SANT](https://www.mn.uio.no/ifi/english/research/projects/sant/index.html) (Sentiment Analysis for Norwegian),
 coordinated by the [Language Technology Group](https://www.mn.uio.no/ifi/english/research/groups/ltg/) (LTG) at the University of Oslo.
 
-The computations were performed on resources provided by UNINETT Sigma2 - the National Infrastructure for High Performance Computing and Data Storage in Norway.
+The computations were performed on resources provided by UNINETT Sigma2 - the National Infrastructure for High Performance Computing and Data Storage in Norway.
+
+## NorBERT-3
+
+In 2023, we released a new family of *NorBERT-3* language models for Norwegian. In general, we now recommend using these models:
+
+- [NorBERT 3 xs](https://huggingface.co/ltg/norbert3-xs) (15M parameters)
+- [NorBERT 3 small](https://huggingface.co/ltg/norbert3-small) (40M parameters)
+- [NorBERT 3 base](https://huggingface.co/ltg/norbert3-base) (123M parameters)
+- [NorBERT 3 large](https://huggingface.co/ltg/norbert3-large) (323M parameters)
+
+NorBERT-3 is described in detail in this paper:
+[NorBench – A Benchmark for Norwegian Language Models](https://aclanthology.org/2023.nodalida-1.61/) (Samuel et al., NoDaLiDa 2023)