LIT - Demos

Take LIT for a spin!

Get a feel for LIT in a variety of hosted demos.

tabular binary classification

DATA SOURCES

Palmer Penguins

Analyze a tabular data model with LIT, including exploring partial dependence plots and automatically finding counterfactuals.

Classification and regression models

BERT binary classification multi-class classification regression

DATA SOURCES

Stanford Sentiment Treebank, Multi-Genre NLI Corpus, Semantic Textual Similarity Benchmark

Use LIT with any of three tasks from the General Language Understanding Evaluation (GLUE) benchmark suite. This demo contains binary classification (for sentiment analysis, using SST2), multi-class classification (for textual entailment, using MultiNLI), and regression (for measuring text similarity, using STS-B).

Notebook usage

BERT binary classification notebooks

DATA SOURCE

Stanford Sentiment Treebank

Use LIT directly inside a Colab notebook. Explore binary classification for sentiment analysis using SST2 from the General Language Understanding Evaluation (GLUE) benchmark suite.