Tools / Data science and machine learning libraries
Hugging Face
The Hub for open models and datasets, and the Transformers library for using and fine-tuning them.
About 10 hours of study. It builds on Programming in Python.
Where to learn it
Hugging Face
Chapters 1–4: using Transformers, fine-tuning, sharing on the Hub
Section not checked yet
No practice set picked yet.
Suggest oneWrong chapter, dead link, or know something better? Tell us on GitHub.
Your route to Hugging Face
Pick where you’re starting from. Anything your background already covers is left out, and the rest is put in order.
2 stops to go, about 50 hours of study.
Open a stop to see the book, the video course and the practice for it. Tick its circle when you've finished.
- 40 h
Programming. Ready to start.
- Tool10 h
Machine learning. After Programming in Python.
That's the whole route to Hugging Face.
Which roles ask for it
- MLOps engineer good to have
- AI / LLM engineer in the first year
What it needs and what it leads to: Hugging Face on the map.