metadata

language: en
tag: text-classification
datasets:
  - twitter
  - movies subtitles

Hate Speech Detector

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.

Test it out

You can test this model live on Spaces