Demonstration of question answering and classification tasks using pretrained LMs.

1. Google BERT's Question Answering model used for QA on Wikipedia text (no fine-tuning).
2. fast.ai's ULMFiT (Universal Language Model Fine tuned for Classification) further fine-tuned on a simple dataset and used for binary classification task.

Both language models are open for use.