- **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](https://github.com/google-research/bert/blob/master/multilingual.md), 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

* https://github.com/NBAiLab/notram

## Training data

The model is trained on a wide variety of text. The training set is described on

* https://github.com/NBAiLab/notram

## More information

For more information on the model, see

https://github.com/NBAiLab/notram

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transformers pytorch tf jax safetensors bert norwegian fill-mask no license:cc-by-4.0 endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #tf #jax #safetensors #bert #norwegian #fill-mask #no #license-cc-by-4.0 #endpoints_compatible #has_space #region-us 

- 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

* URL

## Training data

The model is trained on a wide variety of text. The training set is described on

* URL

## More information

For more information on the model, see

URL

# 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

* URL ## Training data

The model is trained on a wide variety of text. The training set is described on

* URL ## More information

For more information on the model, see

URL
TAGS
#transformers #pytorch #tf #jax #safetensors #bert #norwegian #fill-mask #no #license-cc-by-4.0 #endpoints_compatible #has_space #region-us 
 # 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

* URL ## Training data

The model is trained on a wide variety of text. The training set is described on

* URL ## More information

For more information on the model, see

URL
passage: TAGS
#transformers #pytorch #tf #jax #safetensors #bert #norwegian #fill-mask #no #license-cc-by-4.0 #endpoints_compatible #has_space #region-us 
# 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

* URL## Training data

The model is trained on a wide variety of text. The training set is described on

* URL## More information

For more information on the model, see

URL