Introduction to LLMs in Python Cheatsheet

A one-page LLMs in Python reference, every snippet explained line by line: the Hugging Face pipeline for sentiment, summarization, translation, generation, NER, fill-mask, zero-shot, QA, tokenization, and metrics.

The Hugging Face pipeline function bundles a model, its tokenizer, and the task logic into a single call, so most natural language tasks become one line. This cheatsheet gathers the tasks and the architectures behind them on one page, from sentiment and summarization to tokenization and evaluation, each snippet annotated line by line. Keep it open while you code, or save the image and pin it nearby.

For the full background, read the guide to introduction to LLMs in Python. To practise, work through the 10 code-along examples.

Hope this helps, Andrei.

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