GitHub - PAIR-code/lit: The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.

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. LIT is built to answer questions such as: What kind of examples does m

[manboubird]

Language Interpretability Tool (LIT)

[misshiki]

“言語解釈ツール（LIT）は、NLPモデル用の視覚的でインタラクティブなモデル理解ツールです。 LITは、次のような質問に答えるために作成されています。...”