Colab Notebook: Entity Extraction with GLiNER2.5 in aibackends
Melvin Vivas · X post · 2026-08-28 · Open on X
Topics: LLM Fundamentals, Prompt & Context Engineering · Level: intermediate
Summary
The creator shares a free Google Colab notebook that shows how to use Fastino Labs' GLiNER2.5 model for information extraction through his aibackends library. It is a hands-on way to try a small, specialised extraction model instead of a general LLM.
Key points
- GLiNER2.5 is an extraction model from Fastino Labs.
- The notebook runs it through the creator's aibackends project.
- The notebook is in the repo at examples/notebooks/gliner25_extraction_colab.ipynb and opens straight in Colab.
- Small, specialised models like GLiNER can handle structured extraction tasks such as named entities.
Resources mentioned
- GLiNER2.5 Extraction Colab Notebook · repo · github.com · free
An example notebook that runs GLiNER2.5 information extraction with AIBackends in Colab.
Also in: AIBackends v0.6.0: Run GLiNER2.5 Extraction on CPU (Melvin Vivas on X · notes) - AIBackends · repo · aibackends.com · free
Open-source API server runtime for common AI use cases that supports many models and providers (Ollama, LM Studio, OpenRouter, OpenAI, Anthropic).
Also in: Building a production website with Opus 5.5 and TanStack (Melvin Vivas on X · notes), CamelFlow: open-source visual viewer for Apache Camel routes (Melvin Vivas on X · notes), AI Backends: A Production AI Workflow Engineering Site (Link Share) (Melvin Vivas on X · notes), Demo: Claude Opus 5.5 Generating a Motion-Graphics Video for AIBackends (Melvin Vivas on X · notes) and 16 more - GLiNER2.5 · tool · fastino.ai · free
Fastino Labs' models for extraction and classification that run on CPU, with long context and joint information extraction.
Also in: Free Colab Notebooks: ModernBERT, Gemma QLoRA, GLiNER & Guardrails (Melvin Vivas on X · notes), AIBackends v0.6.0: Run GLiNER2.5 Extraction on CPU (Melvin Vivas on X · notes) - 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), GLiNER decision model demos from Fastino Labs (Melvin Vivas on X · notes), AIBackends v0.8.1 adds GLiNER2.5-Decide local classification (Melvin Vivas on X · notes) and 4 more
Try this
- Open the Colab notebook and run GLiNER2.5 extraction yourself.
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