🏡 Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.

BERT (Bidirectional Encoder Representations from Transformers) is a transformer-based method of learning language representations. It is a bidirectional transformer pre-trained model developed using a combination of two tasks namely: masked language modeling objective and next sentence prediction on a large corpus.