# Lightweight NER

EntityBERT is a lightweight, fine-tuned Transformer model designed specifically for the Named Entity Recognition (NER) task of English texts.

GLiNER is a flexible Named Entity Recognition (NER) model capable of identifying any entity type, providing a practical alternative to traditional NER models and large language models.

GLiNER is a general-purpose named entity recognition model capable of identifying any entity type, providing a lightweight alternative to traditional NER models and large language models.

A lightweight named entity recognition model fine-tuned based on DistilBERT, balancing performance and efficiency