readme: ---
  language:
  - da
  license: cc-by-sa-4.0
  datasets:
  - dane
  widget:
  - text: "Jens Peter Hansen kommer fra Danmark"
  ---
  
  # BERT fine-tuned for Named Entity Recognition in Danish
  
  The model tags tokens (in Danish sentences) with named entity tags (BIO format) [PER, ORG, LOC, MISC].
  The pretrained language model used for fine-tuning is the [Danish BERT](https://github.com/certainlyio/nordic_bert) by BotXO. 
  
  See the [DaNLP documentation](https://danlp-alexandra.readthedocs.io/en/latest/docs/tasks/ner.html#bert) for more details.
  
  Here is how to use the model:
  
  ```python
  from transformers import BertTokenizer, BertForTokenClassification
  
  model = BertForTokenClassification.from_pretrained("alexandrainst/da-ner-base")
  tokenizer = BertTokenizer.from_pretrained("alexandrainst/da-ner-base")
  ```
  
  ## Training Data 
  
  The model has been trained on the [DaNE](https://danlp-alexandra.readthedocs.io/en/latest/docs/datasets.html#dane). 