-- 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
๐Ÿ˜ž Afsky Disgust
๐Ÿ˜จ Frygt Fear
๐Ÿ˜„ Glรฆde Joy
๐Ÿ˜ฑ Overraskelse Surprise
๐Ÿ˜ข Tristhed Sadness
๐Ÿ˜  Vrede Anger

How to use

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

from transformers import AutoTokenizer, AutoModelForSequenceClassification
  
tokenizer = AutoTokenizer.from_pretrained("NikolajMunch/danish-emotion-classification")

model = AutoModelForSequenceClassification.from_pretrained("NikolajMunch/danish-emotion-classification")
Downloads last month
306
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.