Danish BERT (version 2, uncased) by Certainly (previously known as BotXO) finetuned for Named Entity Recognition on the DaNE dataset (Hvingelby et al., 2020) by Malte Højmark-Bertelsen.

Humongous amounts of credit needs to go to Certainly (previously known as BotXO), for pretraining the Danish BERT. For data and training details see their GitHub repository or this article . You can also visit their organization page on Hugging Face.

It is both available in TensorFlow and Pytorch format. The original TensorFlow version can be downloaded using this link .

Here is an example on how to load Danish BERT for token classification in PyTorch using the ?Transformers library:

from transformers import AutoTokenizer, AutoModelForTokenClassification

tokenizer = AutoTokenizer.from_pretrained("Maltehb/danish-bert-botxo-ner-dane")
model = AutoModelForTokenClassification.from_pretrained("Maltehb/danish-bert-botxo-ner-dane")

References

Danish BERT. (2020). BotXO. https://github.com/botxo/nordic_bert (Original work published 2019)

Hvingelby, R., Pauli, A. B., Barrett, M., Rosted, C., Lidegaard, L. M., & Søgaard, A. (2020). DaNE: A Named Entity Resource for Danish. Proceedings of the 12th Language Resources and Evaluation Conference, 4597–4604. https://www.aclweb.org/anthology/2020.lrec-1.565

For help or further information feel free to connect with the author Malte Højmark-Bertelsen on hjb@kmd.dk or any of the following platforms: