Scikit-LLM tutorial shows LLM summarization in scikit-learn pipelines using Groq free tier
A KDnuggets tutorial by Iván Palomares Carrascosa demonstrates how to embed LLM-based text summarization into a standard scikit-learn pipeline using the Scikit-LLM library. The example runs in Google Colab and routes requests through Groq's free OpenAI-compatible API endpoint, using the model openai/gpt-oss-20b. The three-step pipeline first summarizes raw documents to a maximum of 20 words with…
Key points
- Scikit-LLM integrates GPTSummarizer into scikit-learn Pipeline with TF-IDF and LogisticRegression
- Tutorial runs free on Google Colab via Groq API using model openai/gpt-oss-20b
- Three training examples per class suffice because summarizer reduces text to canonical keywords
The story so far
3 episodes →- Scikit-LLM tutorial shows LLM summarization in scikit-learn pipelines using Groq free tierthis story
Using LLM Summarization in Your Scikit-Learn Pipelines with Scikit-LLM
KDnuggets · 3 November 2026
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