Open source repo

What's inside huggingface/transformers

huggingface/transformers is a Python repo with 1,811,568 lines written. transformers is built with FastAPI and uses Hugging Face. AI signed 0.9% of the 24,118 commits of transformers.

Its description on GitHub: “🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.”

PythonApache-2.0168,525

Read on November 4, 2026, at commit fd3cf01.

What the card proved: what it’s built with on the left, what it uses on the right.

See each one with its proof

More on this repo

In figures

lines written
1,811,568
The ones people and agents wrote: product, tests, schemas and tooling. Generated code doesn’t count.
files
3,229
The product’s, not counting tests.
test files
1,742
The files that test the code.

SeeRepo read the facts in its code and kept none of it. AI only helps sort its packages and folders by their names, and never sees its code.

Frequently asked questions

What is huggingface/transformers?
huggingface/transformers is a Python repo with 1,811,568 lines written. Its description on GitHub: “🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.”

The proof: its page on GitHub

What is transformers built with?
transformers is built with FastAPI and uses Hugging Face.

The proof: each service with its file and line

How much of transformers did AI write?
AI signed 0.9% of the 24,118 commits of transformers.

The proof: the commits each tool signed

What license does transformers have?
transformers is released under the Apache-2.0 license.

The proof: its page on GitHub

How many stars does transformers have on GitHub?
transformers had 168,525 stars on GitHub on November 4, 2026.

The proof: its page on GitHub

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