# Binary text classification

MetaHateBERT is a text classification model based on the BERT architecture, specifically designed for detecting hate speech.

A zero-shot text classification model based on BERT architecture, trained for binary classification on the UTCD dataset using an explicit training strategy

This is a binary classification model trained with AutoNLP for sentiment analysis tasks, demonstrating excellent performance on the IMDB dataset.

A Slovenian hate speech classifier fine-tuned on the SloBERTa model, specifically designed for detecting offensive language targeting LGBT communities and immigrants

This is a binary classification model trained with AutoNLP, specifically designed for sentiment analysis of English text.