GLiNER2 is a unified model that performs named entity recognition, zero-shot classification, relation extraction, and structured data extraction using a single schema-based approach. It supports multiple languages and is available via the GLiNER2 library for easy integration into applications.
Gliner2 Multi is a Classification & entity recognition project. It focuses on extracting structured information and classifying text using flexible, schema-driven prompts without task-specific fine-tuning. Gliner2 Multi is an open-source project aimed at developers. Gliner2 Multi is open source under the Apache-2.0 license. Gliner2 Multi is available on the command line and API.
Behind Gliner2 Multi is fastino, and it first shipped in 2025. Development happens publicly on GitHub with 1.7k stars and 23 commits in the last 90 days. Key capabilities include Entity Extraction, Zero-Shot Classification, and Structured Data Extraction.
Summary written by a language model from the project’s public pages.
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