transformers

PyPI v5.5.3

28,068,156 weekly downloads · Apache 2.0 License · 9 Dependencies

Recently published

Source data as of:

Summary

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.

Install pip install transformers

Registry values

Reproduced verbatim from the official registry, with the source named on each value.

Weekly downloads 28,068,156 Source: PyPI (Python Package Index)
Releases 218 Last release: 2026-04-09 Source: PyPI (Python Package Index)
Dependencies 9 Source: PyPI (Python Package Index)

Description

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.

Registry-supplied description, cleaned to plain text. Source: PyPI (Python Package Index).

Package details

Package
transformers
Registry
PyPI
Version
5.5.3
Weekly downloads
28,068,156 (weekly)
License
Apache 2.0 License
Dependencies
9: huggingface-hub, numpy, packaging, pyyaml, regex, tokenizers, typer, safetensors, tqdm
Releases
218
Last release
2026-04-09
First published
2016-08-17
Keywords
machine-learning nlp python pytorch transformer llm vlm deep-learning inference training model-hub pretrained-models llama gemma qwen
Homepage
https://github.com/huggingface/transformers
Repository
https://github.com/huggingface/transformers

Why a field shows "—": A dash means the value is not published by the source registry for that package. Quanteta never fills in a guessed value — a missing field stays blank.

Derived indices (computation method published)

Quanteta-computed from the registry values below. This is a derived index, not a measured registry metric. See the formula on the Data & Sources page.

Q-Vitality Quanteta 83.5 / 100 Maintenance activity index (release cadence + download level).
Q-Trust Quanteta 15.3 / 100 Adoption / stability index (community size + download stability + age).
Q-Risk Quanteta 42.5 / 100 Dependency-surface index. Higher = more risk factors detected.

Data & Sources