This model is a fork of the bert-based-uncased-hatespeech-movies model. It is used to classify text as normal, offensive, hatespeech. The model is initially a pre-trained transformer model(bert-based-uncased) which is further trained on Twitter comments which can be normal, offensive and hate to learn the context from social media data. It is then fine-tuned using the movie subtitles dataset.
You can test this model live on Spaces
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