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@@ -30,4 +30,15 @@ _Andrey Kutuzov, Jeremy Barnes, Erik Velldal, Lilja Øvrelid, Stephan Oepen. [La
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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.
 
 
 
 
 
 
 
 
 
 
 
 
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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.
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+ ## NorBERT-3
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+ In 2023, we released a new family of *NorBERT-3* language models for Norwegian. In general, we now recommend using these models:
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+ - [NorBERT 3 xs](https://huggingface.co/ltg/norbert3-xs) (15M parameters)
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+ - [NorBERT 3 small](https://huggingface.co/ltg/norbert3-small) (40M parameters)
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+ - [NorBERT 3 base](https://huggingface.co/ltg/norbert3-base) (123M parameters)
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+ - [NorBERT 3 large](https://huggingface.co/ltg/norbert3-large) (323M parameters)
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+ NorBERT-3 is described in detail in this paper:
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+ [NorBench – A Benchmark for Norwegian Language Models](https://aclanthology.org/2023.nodalida-1.61/) (Samuel et al., NoDaLiDa 2023)