inseq
Explore a versatile tool designed to facilitate interpretability analysis for sequence generation models using PyTorch. This guide provides insights into installation, application, and the features offered, catering to Python enthusiasts. Understand feature attribution for multiple models through methods such as Integrated Gradients and Attention Weight Attribution. Visualize results seamlessly in Jupyter notebooks or the console, using custom scores to gain comprehensive insights. Inseq simplifies post-hoc model analysis, fostering enhanced understanding and innovation in sequence generation.