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Learning Interpretability Tool

Interactively analyze ML models to understand their behavior

The Learning Interpretability Tool (LIT, formerly known as the Language Interpretability Tool) is a visual, interactive ML model-understanding tool that supports text, image, and tabular data. It can be run as a standalone server, or inside of notebook environments such as Colab, Jupyter, and Google Cloud Vertex AI notebooks.

Downloads: 3 This Week

Last Update: 2024-12-20
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