readme: ---
  language:
  - da
  license: cc-by-sa-4.0
  widget:
  - text: "Senile gamle idiot"
  ---
  
  # Danish BERT for hate speech classification
  
  The BERT HateSpeech model classifies offensive Danish text into 4 categories: 
   * `Særlig opmærksomhed` (special attention, e.g. threat)
   * `Personangreb` (personal attack) 
   * `Sprogbrug` (offensive language)
   * `Spam & indhold` (spam)
  This model is intended to be used after the [BERT HateSpeech detection model](https://huggingface.co/alexandrainst/da-hatespeech-detection-base).
  
  It is based on the pretrained [Danish BERT](https://github.com/certainlyio/nordic_bert) model by BotXO which has been fine-tuned on social media data. 
  
  See the [DaNLP documentation](https://danlp-alexandra.readthedocs.io/en/latest/docs/tasks/hatespeech.html#bertdr) for more details. 
  
  
  Here is how to use the model:
  
  ```python
  from transformers import BertTokenizer, BertForSequenceClassification
  
  model = BertForSequenceClassification.from_pretrained("alexandrainst/da-hatespeech-classification-base")
  tokenizer = BertTokenizer.from_pretrained("alexandrainst/da-hatespeech-classification-base")
  ```
  
  ## Training data
  
  The data used for training has not been made publicly available. It consists of social media data manually annotated in collaboration with Danmarks Radio.
  
  