Estimators in Scikit-LLM: A KDnuggets Cheat Sheet

KDnuggets · 7d ago

Products & Tools Coding Assistants

How-To How to actually use this

What changed: Scikit-LLM now lets you use language models as scikit-learn estimators inside Pipelines and cross-validation.

How to use it:

Import a language model from Scikit-LLM as you would any scikit-learn estimator.
Pass it into a scikit-learn Pipeline alongside transformers and other steps.
Use standard scikit-learn tools like cross_val_score or GridSearchCV with the pipeline.
Train and evaluate the language model using familiar scikit-learn workflows without custom loops.

Good for: data scientists integrating LLMs into existing scikit-learn pipelines.

Scikit-LLM wraps language models in the scikit-learn estimator API, so it drops into a Pipeline or a cross-validation loop natively.