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Nb Bert Large

Developed by NbAiLab
A general-purpose BERT-large model built from the extensive digital collections of the National Library of Norway, supporting Norwegian text processing.
Large Language Model Other#Norwegian monolingual model#BERT-large architecture#Trained on historical texts
Downloads 1,617
Release Time : 3/2/2022

Model Overview

NB-BERT-large is a Norwegian pre-trained language model based on the BERT-large architecture, specifically designed for processing Norwegian text and suitable for various natural language processing tasks.

Model Features

Norwegian-specific training
Trained on 200 years of Norwegian texts from the National Library of Norway, including both Bokmål and Nynorsk variants.
Monolingual vocabulary
Uses a pure Norwegian vocabulary, optimizing processing capabilities for Norwegian text.
Extensive text coverage
Training data includes diverse text types, ensuring adaptability to various Norwegian writing styles.

Model Capabilities

Masked text prediction
Norwegian text understanding
Contextual semantic analysis

Use Cases

Text processing
Library applications
Predicting text content in library scenarios, such as 'In the library you can borrow a [MASK]'
Can predict appropriate Norwegian vocabulary related to books
Language research
Norwegian variant analysis
Analyzing differences between Bokmål and Nynorsk
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