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ucalyptus/gliclass-explained

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GLiClass: Generalist Lightweight Sequence Classification

An interactive research article based on “GLiClass: Generalist Lightweight Model for Sequence Classification Tasks.”

The article explains label-conditioned classification, uni-encoder text-label interaction, PPO and few-shot adaptation, label-count scaling, and the accuracy-throughput frontier reported by the paper.

Source

—arXiv paper
—GLiClass Python library
—GLiClass model collection

Local development

bash

cd app
npm ci
npm run dev

This Space is published with the free static SDK. The production output is committed at the repository root for static hosting; editable source remains under app/.