By huggingface

transformers

🤗 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.

Filed under ML Platforms. Status: Published

Stars: 160.8k
Forks: 33.3k
Open issues: 2.4k
Last commit: 12d ago
Stats refreshed: Refreshed May 21, 2026

On the maker

huggingface

Pricing

Open-source

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Field notes

No field notes yet.

Field notes for transformers will land here when sources support a confident take ; synthesized from postmortems, vendor retros, dev-team blogs, deeply-engaged GitHub issues, and our own builds.

Coverage isn’t promised on every tool ; empty sections are honest. Field notes are curated, not generated from vendor copy.

Benchmarks

Scores aren’t in yet.

We’re wiring up SWE-bench, Aider Polyglot, and a custom dev-task suite next. Methodology will be public; vendor pre-notification is 48 hours.

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