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---
language: no
license: cc-by-4.0
pipeline_tag: fill-mask
tags:
- norwegian
- bert
thumbnail: https://raw.githubusercontent.com/ltgoslo/NorBERT/main/Norbert.png
widget:
- text: "Nå ønsker de seg en [MASK] bolig. "
---
## Quickstart
**Release 2.0** (February 7, 2022)
Please check also our newer models: [NorBERT 3 family](https://huggingface.co/ltg/norbert3-base), trained with a better architecture.
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)
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://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.
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)
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