talmago/fast_gliner

Python bindings to Inference engine for GLiNER models written in Rust

25
/ 100
Experimental

This tool helps data scientists and machine learning engineers quickly extract specific pieces of information from text. You provide text and define what you're looking for, and it identifies and pulls out relevant entities like names or organizations, classifies the text, or extracts structured data like contact information. It's designed for those who need fast and flexible text analysis for various applications.

Use this if you need to rapidly identify and extract custom entities, classify text, or pull structured information from large volumes of unstructured text data.

Not ideal if you prefer using traditional Python-only machine learning libraries or are working with extremely limited computational resources where even optimized inference might be too much.

natural-language-processing information-extraction text-analytics data-labeling entity-recognition
No License No Package No Dependents
Maintenance 13 / 25
Adoption 5 / 25
Maturity 7 / 25
Community 0 / 25

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9

Forks

Language

Rust

License

Last pushed

Mar 16, 2026

Commits (30d)

0

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