Hate Speech Classifier for Social Media Content in Dutch
A monolingual model for hate speech classification of social media content in Dutch. The model was trained on 20000 social media posts (youtube, twitter, facebook) and tested on an independent test set of 2000 posts. It is based on thepre-trained language model BERTje.
Tokenizer
During training the text was preprocessed using the BERTje tokenizer. We suggest the same tokenizer is used for inference.
Model output
The model classifies each input into one of four distinct classes:
- 0 - acceptable
- 1 - inappropriate
- 2 - offensive
- 3 - violent
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Inference Providers
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This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.