This repository contains examples and best practices for building NLP systems, provided as Jupyter notebooks and utility functions. The focus is on state-of-the-art deep neural network methods using language models pretrained on large text corpora, including transformers and transfer learning approaches. It aims to provide tools and examples that leverage recent advances in NLP algorithms and distributed machine learning to help data scientists build NLP solutions.