Introducing FastBert -- A simple Deep Learning library for BERT Models

The little Sesame Street muppet has taken the world of Natural Language Processing by storm and the storm is picking up speed. We have seen a number of NLP problems solved by neural network architectures built on top of contextual representations of BERT. To name a few BERT based models have pushed the state of the art for SQUAD 2.0 question answering, GLUE multi task learning, Google natural questions task and Biomedical domain specific tasks -- BioBERT. This opened the door for the amazing developers at Hugging Face who built the PyTorch port for BERT. With this library, geniuses i.e. developers and data scientists can use BERT models for text classification, question answering, fine tuning language model and more.