LLM Course

by Hugging Face

Understand language models and adapt them yourself

Free course on language models: transformers, fine-tuning, deployment.

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How it runs for you

Simulation starting …

Illustration, not a real test run

What you get

What you get

  1. 01Understand how transformer models work
  2. 02Fine-tune a model on your own data
  3. 03Share models and publish them as demos

For you if …

  • Developers who want to work with open models
  • Students with Python basics

Pick something else if …

  • Only use AI in a chat? A prompting guide fits better

How to start

In three steps.

What you need
  • Python skills
  • Browser (Colab is enough)
  • Free HF account (optional)
  1. 1Open huggingface.co/learn/llm-course
  2. 2Start with chapter 1 on transformer models
  3. 3Run the code examples right in Google Colab

Safety check

Limited checks · 3 checks

3 of 3 possible checks passed. Fewer than four automated checks are possible here, so we show no trust score.

What does “checked” mean?

Limited checks · 3 checks
Is it maintained?
  • Website reachable
Technical details & what we don’t check
  • Website loads fast
  • Website protection settings: 3 of 6 (website only, not the software)HSTS, Frame-Schutz, Referrer-Policy

We automatically check origin, code patterns, licence, maintenance and reachability — again every day. We do not check whether the software fits your purpose, how it handles your data, or whether it works without errors. Last checked 22 hours ago. How OROBO checks

Facts

AreaLearn & understand
PriceFree
Runs onBrowser
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