readme: ---
  language: da
  tags:
  - danish
  - bert
  - sentiment
  - polarity
  license: cc-by-4.0
  widget:
  - text: "Sikke en dejlig dag det er i dag"
  ---
  # Danish BERT fine-tuned for Sentiment Analysis (Polarity)
  This model detects polarity ('positive', 'neutral', 'negative') of danish texts.
  
  It is trained and tested on Tweets annotated by [Alexandra Institute](https://github.com/alexandrainst).
  
  Here is an example on how to load the model in PyTorch using the [🤗Transformers](https://github.com/huggingface/transformers) library:
  
  ```python
  from transformers import AutoTokenizer, AutoModelForSequenceClassification, pipeline
  tokenizer = AutoTokenizer.from_pretrained("larskjeldgaard/senda")
  model = AutoModelForSequenceClassification.from_pretrained("larskjeldgaard/senda")
  
  # create 'senda' sentiment analysis pipeline 
  senda_pipeline = pipeline('sentiment-analysis', model=model, tokenizer=tokenizer)
  
  senda_pipeline("Sikke en dejlig dag det er i dag")
  ```
  