TransformerSum provides implementations of both extractive and abstractive summarization models using pre-trained transformer architectures. It integrates with Hugging Face Transformers for easy access to various model architectures and uses PyTorch Lightning to handle training loops. The library also includes utilities for converting abstractive summarization datasets into extractive format, enabling comparative research between the two approaches.