readme: ---
  language: da
  tags:
  - danish
  - bert
  - masked-lm
  - Certainly
  license: cc-by-4.0
  datasets:
  - common_crawl
  - wikipedia
  - dindebat.dk
  - hestenettet.dk
  - danish OpenSubtitles
  pipeline_tag: fill-mask
  widget:
  - text: "København er [MASK] i Danmark."
  ---
  
  # Danish BERT (version 2, uncased) by [Certainly](https://certainly.io/) (previously known as BotXO).
  
  All credit goes to [Certainly](https://certainly.io/) (previously known as BotXO), who developed Danish BERT. For data and training details see their [GitHub repository](https://github.com/certainlyio/nordic_bert) or [this article](https://www.certainly.io/blog/danish-bert-model/). You can also visit their [organization page](https://huggingface.co/Certainly) on Hugging Face.
  
  It is both available in TensorFlow and Pytorch format. 
  
  The original TensorFlow version can be downloaded using [this link](https://www.dropbox.com/s/19cjaoqvv2jicq9/danish_bert_uncased_v2.zip?dl=1).
  
  
  Here is an example on how to load Danish BERT in PyTorch using the [🤗Transformers](https://github.com/huggingface/transformers) library:
  
  
  
  ```python
  from transformers import AutoTokenizer, AutoModelForPreTraining
  
  tokenizer = AutoTokenizer.from_pretrained("Maltehb/danish-bert-botxo")
  model = AutoModelForPreTraining.from_pretrained("Maltehb/danish-bert-botxo")
  
  ```
  