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da-hatespeech-detection-small
alexandrainst/da-hatespeech-detection-small
da-hatespeech-detection-small 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 ELECTRA Offensive model detects whether a Danish text is offensive or not. It is based on the pretrained Danish Ælæctra model.
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- electra
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Sep 20, 2023
- SHA
- f38d56a8
Try a prompt
Model card
From the Hugging Face model README
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 Ælæctra 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.
- Task
- Text Classification
- Library
- transformers
- Type
- electra
- License
- apache-2.0
- Languages
- da
- Created
- Mar 2, 2022
- Updated
- Sep 20, 2023