joeddav/bart-large-mnli-yahoo-answers

This model takes facebook/bart-large-mnli and fine-tunes it on Yahoo Answers topic classification . It can be used to predict whether a topic label can be assigned to a given sequence, whether or not the label has been seen before . For example in the training set, a true and a randomly-selected false label hypothesis are fed to the model which must predict which labels are valid and which are false . The model is a pre-trained MNLI classifier further fine-tuned on topic classification in the manner originally described in Yin et al. 2019 and this blog post . The method studies the ability to classify unseen labels after being trained on a different set of labels .,