nicobrenner/jeffy

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Pretrained text classifiers you can run and retrain on CPU

About the project

Jeffy is a set of pretrained text classifiers built on logistic regression over the bge-large-en-v1.5 encoder, running on CPU. It lets you run ready-made classifiers (spam, sentiment, intents) and train your own on small datasets.

Useful for

Start a local HTTP server and classify text via /v1/predict
Train a custom classifier on a CSV with text and label columns
Detect customer intent in banking messages with banking77

README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.

1.9 Steady Magnitude out of 10 — how fast interest is growing, not a quality score.

Star growth looks organic. Data as of October 3, 2026, 23:44 UTC.

The star-growth assessment does not verify whether the project is safe to run.

Stars per day

Bars show daily stars; the line is a moving average of the available history. Short histories do not yet establish a reliable usual pace. Red marks spike days.

Why it’s trending

7 stars today.
The repository is 1 day old and already has 9 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
Hacker News: “Show HN: Local pretrained classifiers, GPU not needed” — 8 points, 3 h ago.
Recent forks include notable developers: @dorucioclea (312 followers).

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Numbers

Total stars: 9
Today: 7
Forks: 1
Issues and pull requests: 0
Watchers: 0
Language: Python
License: MIT
Created: October 2, 2026
Last push: October 3, 2026

Star trust

Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.

These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.

Hacker News discussions

Show HN: Local pretrained classifiers, GPU not needed8 points, October 3, 2026

Spotted in

October 3, 2026Spotted on Hacker News

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