Hugging Face Course vs 
ML Interviews Book
Hugging Face Course vs ML Interviews Book compared for 2026 — features, license, ease of use, performance and which one to choose. Master transformers with the actual library vs What ML interviews actually ask.
Updated regularly · curated by OpenSourceAI.tech
Hugging Face Course vs ML Interviews Book at a glance
| Spec | Hugging Face Course | ML Interviews Book |
|---|---|---|
| Category | Learn AI & machine learning | Learn AI & machine learning |
| Type | Course | Book |
| License | Apache-2.0 | Custom (free to read) |
| Runs locally | Yes | Yes |
| Primary language | Python | Markdown |
| Ease of use | Intermediate | Intermediate |
| Best for | learning the library the whole ecosystem uses | preparing for an ML role, or checking your gaps |
| GitHub stars | 4.1k | — |
How Hugging Face Course and ML Interviews Book score
| Criterion | Hugging Face Course | ML Interviews Book |
|---|---|---|
| Popularity | 2.5 | n/a |
| Maintenance | 5.0 | n/a |
| Ease of use | 3.5 | 3.5 |
| Privacy | 5.0 | 5.0 |
| License freedom | 5.0 | 3.5 |
Scores are computed automatically from public signals — GitHub stars (popularity), recent commit activity (maintenance), license type (freedom), local-first design (privacy) and onboarding complexity (ease of use). Indicative, not a verdict.
What each one is
Hugging Face Course
The official Hugging Face course on transformers, datasets and tokenizers — you learn the ecosystem that most of open-source AI actually runs on.
- Teaches the library everyone actually uses
- Free, with Colab notebooks throughout
- Maintained by the people who wrote the library
ML Interviews Book
Chip Huyen's open book on machine learning interviews: the questions companies really ask, why they ask them, and how to think about the answers.
- Real questions from real companies
- Explains the reasoning, not just the answer
- Doubles as a checklist of what you should know
Key differences
Hugging Face Course is course, while ML Interviews Book is book. Their licenses differ (Apache-2.0 vs Custom (free to read)), which matters if you ship a commercial product. In short, Hugging Face Course fits learning the library the whole ecosystem uses, and ML Interviews Book fits preparing for an ML role, or checking your gaps.
Which should you choose?
Choose Hugging Face Course for learning the library the whole ecosystem uses. Choose ML Interviews Book for preparing for an ML role, or checking your gaps.
There is rarely one winner — many setups use both. The right pick depends on your hardware, your team's skills, and whether you value simplicity or control.
Frequently asked questions
Is Hugging Face Course or ML Interviews Book easier to use?
Both sit at a similar level (Intermediate). Your choice should come down to fit rather than difficulty.
Are Hugging Face Course and ML Interviews Book free?
Hugging Face Course is free and open source (Apache-2.0), and ML Interviews Book is free and open source (Custom (free to read)). Neither charges for the core software.
Can I run Hugging Face Course and ML Interviews Book locally?
Hugging Face Course: yes · ML Interviews Book: yes. Both can be used without sending your data to a third-party cloud where their setup allows.
Hugging Face Course vs ML Interviews Book — which should I pick in 2026?
Choose Hugging Face Course for learning the library the whole ecosystem uses. Choose ML Interviews Book for preparing for an ML role, or checking your gaps.
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