GLiNER multi-v2.1 is a general-purpose Named Entity Recognition model that can identify any entity type specified in natural language. Unlike traditional NER systems, it does not require predefined entity classes and works across multiple languages. It is distributed on Hugging Face and integrates with the dedicated GLiNER library.
Gliner Multi is a Classification & entity recognition project. It focuses on extracting arbitrary named entities from text without being limited to a fixed set of categories. It is built as an open-source project for developers. The project is open source (Apache-2.0). Gliner Multi is available on the web and the command line, and it can be self-hosted.
Behind Gliner Multi is urchade, and it first shipped in 2023. The project is developed in the open on GitHub with 3.4k stars and 54 commits in the last 90 days. Among its 4 catalogued features are Zero-shot NER, any entity type, and multilingual support.
Summary written by a language model from the project’s public pages.
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