GLiNER decision model demos from Fastino Labs
Melvin Vivas · X post · 2026-09-26 · Open on X
Topics: LLM Fundamentals, Industry Trends & Job Market · Level: intermediate
Summary
The creator points to demos from Fastino Labs built on their GLiNER-based decision models. Fastino says decision models have pushed people to try use cases beyond parsing text, and their team built several demos to show this.
Key points
- GLiNER models are being extended from entity extraction to 'decision' tasks.
- Decision models encourage use cases beyond plain text parsing.
- Fastino Labs published several demos of decision models.
- Lots of community decision-model demos have circulated in recent weeks.
Resources mentioned
- GLiNER · repo · github.com · free
An open-source family of lightweight, generalist models for named entity recognition and extraction. - Fastino Labs (@fastinoAI) on X · person · x.com · free
The X account of Fastino Labs, which builds GLiNER decision models and shares demos.
Also in: GLiDE: Fastino's Decision Model with Adaptive Thinking (Melvin Vivas on X · notes), GLiDE by Fastino Labs: A Post-Trainable Reasoning Decision Model (Melvin Vivas on X · notes), AIBackends v0.8.1 adds GLiNER2.5-Decide local classification (Melvin Vivas on X · notes), Intent classification for support using GLiNER2.5-Decide notebook (Melvin Vivas on X · notes) and 4 more
Try this
- Check out Fastino Labs' GLiNER decision model demos.
- Build a demo that uses a decision model for something beyond text parsing.
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- Intent classification for support using GLiNER2.5-Decide notebook
- NeoHorse-Jev-4B: Open 4B Model for Structured Decisions
- Getting started with GLiNER2.5-Decide in a Colab notebook