🤗 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 +35.9 stars/day (88th percentile in the tracked cohort), for a momentum score of 42.1/100. A recent release is helping fuel the run.
Release count rose to 281.
Release count rose to 278.
Release count rose to 277.
Live score, refreshed every 6 hours. Links back to this page.
[](https://repoclimb.com/repo/huggingface/transformers)Low breakout odds over the next 14 days, led by star velocity (88th pctl) and fork velocity (93th 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.
Reconstructed from 384 snapshots — the time-series GitHub’s API doesn’t expose.
Release count rose to 276.
Release count rose to 275.
~38 forks/day, 4.4× the trailing baseline.
~22 forks/day, 3.9× the trailing baseline.
~13 forks/day, 3.4× the trailing baseline.
Release count rose to 274.
Release count rose to 273.
~50 forks/day, 3.8× the trailing baseline.
~51 forks/day, 3.0× the trailing baseline.