Fast-Bert is a deep learning library that simplifies training and deploying BERT-based models for natural language processing. It enables multi-class and multi-label text classification using BERT, XLNet, and RoBERTa architectures, built on top of the Hugging Face Transformers PyTorch library. The library provides utilities for hyperparameter tuning, model saving, and inference deployment including on AWS Sagemaker.