The BERT HateSpeech model detects whether a Danish text is offensive or not. It is based on the pretrained Danish BERT model by BotXO which has been fine-tuned on social media data.
See the DaNLP documentation for more details.
Here is how to use the model:
from transformers import BertTokenizer, BertForSequenceClassification model = BertForSequenceClassification.from_pretrained("DaNLP/da-bert-hatespeech-detection") tokenizer = BertTokenizer.from_pretrained("DaNLP/da-bert-hatespeech-detection")
The data used for training has not been made publicly available. It consists of social media data manually annotated in collaboration with Danmarks Radio.
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