A classifier trained on around 70k news articles, aimed at distinguishing real news from fake news. It is an EmbeddingBag-based text classifier made with PyTorch. Accuracy is 99.205%
Data used is Gonzalo Álvarez's Fake News and Mohammad Javad Pirhadi's Fake News Detection Dataset (English). I could not find any specific citation to use.
Check GitHub for the training code and output log.
Inference API (serverless) does not yet support pytorch models for this pipeline type.