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da-hatespeech-classification-base
alexandrainst/da-hatespeech-classification-base
da-hatespeech-classification-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 classifies offensive Danish text into 4 categories: Særlig opmærksomhed (special attention, e.g. threat) Personangreb (personal attack) Sprogbrug (offensive language) Spam & indhold (spam) Th…
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Model card
From the Hugging Face model README
Danish BERT for hate speech classification
The BERT HateSpeech model classifies offensive Danish text into 4 categories:
Særlig opmærksomhed(special attention, e.g. threat)Personangreb(personal attack)Sprogbrug(offensive language)Spam & indhold(spam) This model is intended to be used after the BERT HateSpeech detection model.
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-classification-base")
tokenizer = BertTokenizer.from_pretrained("alexandrainst/da-hatespeech-classification-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