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README.md

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 ## Quickstart
 **Release 2.0** (February 7, 2022)
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 Trained on the very large corpus of Norwegian (C4 + NCC, about 15 billion word tokens).
 Features a 50 000 words vocabulary and was trained using Whole Word Masking.
 
 Download the model here:
 * Cased Norwegian BERT Base 2.0 (NorBERT 2): [221.zip](http://vectors.nlpl.eu/repository/20/221.zip)
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 More about NorBERT training corpora, training procedure and evaluation benchmarks: http://norlm.nlpl.eu/
 
 Associated code: https://github.com/ltgoslo/NorBERT
 
 Check this paper for more details:
-_Andrey Kutuzov, Jeremy Barnes, Erik Velldal, Lilja Øvrelid, Stephan Oepen. [Large-Scale Contextualised Language Modelling for Norwegian](https://arxiv.org/abs/2104.06546), NoDaLiDa'21 (2021)_
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+_Andrey Kutuzov, Jeremy Barnes, Erik Velldal, Lilja Øvrelid, Stephan Oepen. [Large-Scale Contextualised Language Modelling for Norwegian](https://aclanthology.org/2021.nodalida-main.4/), NoDaLiDa'21 (2021)_
 
 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),
 coordinated by the [Language Technology Group](https://www.mn.uio.no/ifi/english/research/groups/ltg/) (LTG) at the University of Oslo.