# Zero-shot Entity Recognition

GLiNER is a general-purpose named entity recognition (NER) model capable of identifying any type of entity, providing a practical alternative to traditional NER models.

GLiNER is a general-purpose Named Entity Recognition (NER) model capable of identifying any entity type through a bidirectional Transformer encoder.

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

GLiNER is a general-purpose named entity recognition (NER) model capable of identifying any entity type, providing a practical alternative to traditional NER models.

GLiNER is a bidirectional Transformer-based named entity recognition model capable of identifying any entity type, offering greater flexibility than traditional NER models and higher efficiency than large language models.

GLiNER is a multilingual Named Entity Recognition (NER) model capable of identifying any entity type through a bidirectional Transformer encoder, providing a flexible alternative to traditional NER models.