#TextAttack

TextAttack is a Python framework designed for generating adversarial examples, augmenting data, and training NLP models. The framework allows exploration of various attack methods to better understand and improve NLP models' performance. With straightforward pip installation, TextAttack ensures easy integration into existing workflows. It features advanced adversarial techniques, access to pre-trained models, and extensive documentation for comprehensive analysis and benchmarking of NLP systems, supporting multiple GPUs for enhanced efficiency.