GLiNER: Generalist & Lightweight Named Entity Recognition

GLiNER is a Python library providing a Generalist and Lightweight Model for Named Entity Recognition (NER). It's built on a bidirectional transformer encoder (BERT-like) and can identify any entity type using zero-shot capabilities. It serves as an efficient alternative to traditional NER models and large language models (LLMs) for resource-constrained environments, offering competitive performance on CPUs and consumer hardware. The library currently stands at version 0.2.26 with frequent updates and an active development cadence.