GLiNER
GLiNER offers a lightweight solution for identifying diverse entity types with a BERT-like transformer encoder. It stands as a viable option against traditional NER models limited to predefined entities and large language models, often too resource-intensive. GLiNER balances flexibility and efficiency, applicable across various scenarios. Easy installation and pretrained models facilitate entity prediction. Access example notebooks for finetuning and model conversion, ensuring seamless integration in research and industry contexts.
