Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts)
Extract various types of information from texts using a small AI model that can learn without prior examples.
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GLiNER has 3.6k stars on GitHub. It has been forked 300 times. GLiNER is written mainly in Python. It has been in active development since 2023. GLiNER is available under the Apache-2.0 license. Its main topics are information-extraction, large-language-models, named-entity-recognition, natural-language-processing.
Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts)
GLiNER is an open-source project. It is released under the Apache-2.0 license.
Yes. GLiNER is free and open source — you can use, modify and self-host it.
GLiNER is available under the Apache-2.0 license.
GLiNER is written mainly in Python.
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