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--- |
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language: no |
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license: cc-by-4.0 |
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pipeline_tag: fill-mask |
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tags: |
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- norwegian |
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- bert |
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thumbnail: https://raw.githubusercontent.com/ltgoslo/NorBERT/main/Norbert.png |
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widget: |
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- text: "Nå ønsker de seg en [MASK] bolig. " |
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--- |
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## Quickstart |
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**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). |
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Features a 50 000 words vocabulary and was trained using Whole Word Masking. |
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Download the model here: |
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* 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/ |
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Associated code: https://github.com/ltgoslo/NorBERT |
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Check this paper for more details: |
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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)_ |
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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), |
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coordinated by the [Language Technology Group](https://www.mn.uio.no/ifi/english/research/groups/ltg/) (LTG) at the University of Oslo. |
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The computations were performed on resources provided by UNINETT Sigma2 - the National Infrastructure for High Performance Computing and Data Storage in Norway. |
