# huggingface/course

The Hugging Face course on Transformers

Repository: https://github.com/huggingface/course
Canonical: https://ross.abutalabs.com/products/huggingface-course
Homepage: https://huggingface.co/course
Language: MDX
License: Apache-2.0
License Family: permissive
Topics: deep-learning, nlp, transformers, hacktoberfest
Last push: 2026-07-06T10:02:48+00:00

## Health v2 (maintenance only)
Score: 73/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 91, release rhythm 35, longevity 100
- inputs: {"age_days": 1846, "days_push": 58, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4155, forks 1399 (observed 2026-08-28T04:08:36.529941+00:00)

## What it is
The free, open-source Hugging Face course teaching how to apply Transformers to NLP and LLM tasks using the Hugging Face ecosystem (Transformers, Datasets, Tokenizers, Accelerate, and the Hub). Content is written in MDX and translated into many languages.

## Use cases
- learn how to use hugging face transformers
- free course on large language models
- learn nlp with transformers from scratch
- understand tokenization and fine-tuning
- learn to fine-tune transformer models
- get started with the hugging face ecosystem
- learn to use the hugging face hub

## When to choose
- you want a free, structured introduction to Transformers, LLMs, and the Hugging Face ecosystem
- you prefer learning with hands-on code examples in PyTorch
- you want multilingual course material

## When to avoid
- you need a software library or tool rather than educational content
- you want deep theoretical coverage of ML math rather than practical library usage
- you need vendor-neutral coverage of non-Hugging Face frameworks only

## Facets
- artifact type: learning-resource
- maturity: active
- function: nlp, machine-learning, deep-learning, llm-inference, documentation
- domain: large-language-models, deep-learning, tutorials, education
- platform: cross-platform
- tags: hugging-face, transformers, free-course, open-source-course, mdx, natural-language-processing, web-server

## Member repositories
- huggingface/course (main) score 73

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:36.529941+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:22:52.246103+00:00, confidence not recorded.
  - readme: https://github.com/huggingface/course (fetched 2026-08-28T04:08:36.529941+00:00, sha 617f66c4b2d4)
  - homepage: https://huggingface.co/course (fetched 2026-08-29T09:14:01.416179+00:00, sha 90cf69164fe9)
  - site_page: https://huggingface.co/docs (fetched 2026-08-29T09:14:01.425637+00:00, sha bdec26667b98)
  - site_page: https://huggingface.co/pricing (fetched 2026-08-29T09:14:01.427620+00:00, sha de6b7a178be5)
- Data as of 2026-08-30T08:39:29.467469+00:00.