readme: ---
  widget:
  - text: "Hold da op! Kan det virkelig passe?"
  
  language: 
    - "da"
    
  tags:
  - sentiment
  - emotion
  - danish
  ---
  
  # **-- EMODa --**
  
  ## BERT-model for danish multi-class classification of emotions
  
   Classifies a danish sentence into one of 6 different emotions:
   
   | Danish emotion      | Ekman's emotion |
  | ----- | ----- |
  | 😞 **Afsky**   |  Disgust      |
  |  😨 **Frygt**       |  Fear      |
  | 😄 **Glæde**       |    Joy    |
  | 😱 **Overraskelse**   |   Surprise     |
  | 😢  **Tristhed**     |    Sadness    |
  | 😠 **Vrede**       |   Anger     |
  
  
  # How to use
  
  ```python
  from transformers import pipeline
  
  model_path = "NikolajMunch/danish-emotion-classification"
  classifier = pipeline("sentiment-analysis", model=model_path, tokenizer=model_path)
  prediction = classifier("Jeg er godt nok ked af at mine SMS'er er slettet")
  
  print(prediction)
  # [{'label': 'Tristhed', 'score': 0.9725030660629272}]
  ```
  
  or
  ```python
  from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
  tokenizer = AutoTokenizer.from_pretrained("NikolajMunch/danish-emotion-classification")
  
  model = AutoModelForSequenceClassification.from_pretrained("NikolajMunch/danish-emotion-classification")
  ```
  
  
  
  