NB-BERT
Collection
Models based on BERT from Google, and trained on data from various sources, including the digital collection at the National Library of Norway.
•
4 items
•
Updated
- Release 1.1 (March 11, 2021)
- Release 1.0 (January 13, 2021)
NB-BERT-base
Description
NB-BERT-base is a general BERT-base model built on the large digital collection at the National Library of Norway.
This model is based on the same structure as BERT Cased multilingual model, and is trained on a wide variety of Norwegian text (both bokmål and nynorsk) from the last 200 years.
Intended use & limitations
The 1.1 version of the model is general, and should be fine-tuned for any particular use. Some fine-tuning sets may be found on GitHub, see
Training data
The model is trained on a wide variety of text. The training set is described on
More information
For more information on the model, see
- Downloads last month
- 2,117
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.