Language Interpretability Tool (LIT) is a browser based UI & toolkit for model interpretability .It is an open-source platform for visualization and understanding of NLP models developed by Google Research Team.
LIT supports models like Regression, Classification, seq2seq,language modelling and structured predictions.
It is Framework-agnostic and compatible with TensorFlow, PyTorch, and more.
Components of LIT are portable, and can easily be used in a Jupyter notebook or standalone script.
pip install lit-nlp
Refer further installation and demo run guide ,how to set up and run LIT on your local server LIT — Setup Guide (pair-code.github.io)
General Layout : LIT consists of a Python backend and a TypeScript frontend. …