DanBERT

Model description

DanBERT is a danish pre-trained model based on BERT-Base. The pre-trained model has been trained on more than 2 million sentences and 40 millions, danish words. The training has been conducted as part of a thesis.
The model can be found at:

Intended uses & limitations

How to use

from transformers import AutoTokenizer, AutoModel  
tokenizer = AutoTokenizer.from_pretrained("alexanderfalk/danbert-small-cased")  
model = AutoModel.from_pretrained("alexanderfalk/danbert-small-cased") 

BibTeX entry and citation info

@inproceedings{...,
  year={2020},
  title={Anonymization of Danish, Real-Time Data, and Personalized Modelling},
  author={Alexander Falk},
}
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