Danish ELECTRA for hate speech (offensive language) detection
The ELECTRA Offensive model detects whether a Danish text is offensive or not. It is based on the pretrained Danish ΓlΓ¦ctra model.
See the DaNLP documentation for more details.
Here is how to use the model:
from transformers import ElectraTokenizer, ElectraForSequenceClassification
model = ElectraForSequenceClassification.from_pretrained("alexandrainst/da-hatespeech-detection-small")
tokenizer = ElectraTokenizer.from_pretrained("alexandrainst/da-hatespeech-detection-small")
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.
- Downloads last month
- 505
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.