# 38 runnable notebooks for learning Hugging Face from Trainer to GRPO by removing the abstractions > Source: > Published: 2026-09-12 17:58:27+00:00 I’ve been building a learning repository around a simple idea: **don’t just learn how to call Hugging Face APIs — progressively remove the abstractions until you understand what they are doing.** The repo now contains **38 runnable notebooks** covering a path from the core Hugging Face stack into fine-tuning, PEFT, reasoning/RL, and end-to-end project work. Some of the parts I think are most useful: The progression is roughly: high-level API → inspect the abstraction → rebuild the important parts → use the higher-level tooling again with a better mental model Repository: I’d especially appreciate feedback from people working with Hugging Face, LLM fine-tuning, tokenization, or RL. I’m particularly interested in whether the **GRPO-from-scratch** and **Romanian QA evaluation** sections explain the underlying ideas clearly enough, and whether there are important gaps in the learning path that would be worth adding. If the repository is useful to you, a GitHub star is appreciated too, but technical feedback is even more useful.