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da-hatespeech-detection-base
alexandrainst/da-hatespeech-detection-base
da-hatespeech-detection-base is a text classification model from alexandrainst. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
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.
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Model card
From the Hugging Face model README
Danish BERT for hate speech (offensive language) detection
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("alexandrainst/da-hatespeech-detection-base")
tokenizer = BertTokenizer.from_pretrained("alexandrainst/da-hatespeech-detection-base")
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.
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Languages
- da
- Created
- Mar 2, 2022
- Updated
- Sep 20, 2023