Sign in
Free Intermediate LLMs

LLM Course

Open-source models end to end, free and hands-on.

Hugging Face's own course on working with language models using the open-source stack: transformers, datasets and tokenizers. It is hands-on throughout, with notebooks you run rather than slides you watch.

with Hugging Face
Go to course on Hugging Face

Listed by AI Review Rating. We are not affiliated with Hugging Face and earn nothing from this link.

LLM Course

About Hugging Face

Hugging Face maintains the open-source libraries most of the field runs on, including transformers, datasets and tokenizers. Its courses are written by the maintainers, so they track how the tools actually work.

Open the course

Course overview

Because it is written by the people who maintain the libraries, it stays current with how the tools actually work rather than how they worked two years ago.

What you will learn

  • Use the transformers library to run and adapt pretrained models
  • Prepare and tokenize a dataset properly for training
  • Fine-tune a model on your own data and evaluate the result
  • Share models and datasets on the Hub the way the ecosystem expects

Who this course is for

Engineers going open-source the standard route into the stack
ML practitioners the practical companion to the theory you have

Course details

FormatWritten chapters with runnable notebooks
LevelIntermediate
PriceFree
Time30 hours
CertificateNo certificate

Learner ratings

No ratings yet. We publish an average once 3 members have rated it, so one opinion never reads as a score.

Taken this course? Sign in or create a free account to rate it. Ratings are members-only so one person cannot set the average.

More courses like this