Hugging Face
vendor · US
A platform for open models with an extensive free course catalogue. Relevant to anyone who wants to understand what happens under the surface, or who runs open models themselves.
REVIEWED
Hugging Face agents course
Tool calls, planning, and the safeguards without which an agent is not viable in operation. Hands-on, with runnable code.
For anyone building an agent who needs to know which safeguards belong with it.
Hugging Face audio course
From the signal through spectrograms to recognition and synthesis, with code throughout. The practical companion to the speech and audio articles.
For anyone building speech technology themselves; assumes Python and some signal knowledge.
Hugging Face computer vision course
From image preprocessing through convolutional networks to vision transformers, with runnable examples for detection and segmentation.
For development with image data; assumes Python and delivers runnable examples in exchange.
Hugging Face datasets
Open datasets with description, licence and preview. Useful for evaluation sets, risky as training data without checking provenance.
Good for evaluation sets; as training data only with a provenance and licence check.
Hugging Face deep reinforcement learning course
Reward, policy and exploration in playable environments. Useful for understanding what actually happens when a language model is aligned.
For anyone wanting to understand what actually happens when a language model is aligned.
Hugging Face LLM Course
A free technical course on language models. Assumes Python knowledge.
For the step from using models to running open ones yourself.
Hugging Face model hub
Hundreds of thousands of open models with licence, model card and weights. The first place to look when checking whether a local model is enough for a task.
The licence is on the model card, and not every open model allows commercial use.
Hugging Face NLP course
Tokenisation, transformers, fine-tuning and deployment, with code throughout. Assumes Python, and in exchange you end up working with real models.
For development with language models once it has to go beyond calling an interface.