🤗 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.
huggingface/transformers is drawing steady momentum at +51.0 stars/day (92nd percentile in the tracked cohort), for a momentum score of 40.2/100. A recent release is helping fuel the run.
Reconstructed from 352 snapshots — the time-series GitHub’s API doesn’t expose.
~50 forks/day, 3.8× the trailing baseline.
~51 forks/day, 3.0× the trailing baseline.
~44 forks/day, 4.1× the trailing baseline.
Live score, refreshed every 6 hours. Links back to this page.
[](https://breakwave.vercel.app/repo/huggingface/transformers)Low breakout odds over the next 14 days, led by star velocity (92th pctl) and fork velocity (92th pctl). Confidence is high given the available history.
Transparent heuristic · logged for model training
Percentile rank within the tracked cohort. The score self-calibrates — it answers “accelerating vs. everything else,” not raw size.
~19 forks/day, 3.8× the trailing baseline.
Release count rose to 272.
~10 forks/day, 3.0× the trailing baseline.
~28 forks/day, 3.4× the trailing baseline.
~28 forks/day, 4.6× the trailing baseline.
Release count rose to 271.
Release count rose to 270.
~28 forks/day, 3.3× the trailing baseline.
~49 forks/day, 4.3× the trailing baseline.