Model Card for GLiNER L GLiNER is a Named Entity Recognition (NER) model capable of identifying any entity type using a bidirectional transformer encoder (BERT like). It provides a practical alternative to traditional NER models, which are limited to predefined entities, and Large Language Models (LLMs) that, despite their flexibility, are costly and large for resource constrained scenarios. This version has been trained on the Pile NER dataset (Research purpose) Links Paper: https://arxiv.org/abs/2311.08526 Repository: https://github.com/urchade/GLiNER Available models Release Model Name of Parameters Language License v0 urchade/gliner base urchade/gliner multi 209M 209M English Multilingual cc by nc 4.0 v1 urchade/gliner small v1 urchade/gliner medium v1 urchade/gliner large v1 166M 209M 459M English English English cc by nc 4.0 v2 urchade/gliner small v2 urchade/gliner medium v2 urchade/gliner large v2 166M 209M 459M English English English apache 2.0 v2.1 urchade/gliner small v2.1 urchade/gliner medium v2.1 urchade/gliner large v2.1 urchade/gliner multi v2.1 166M 209M 459M 209M English English English Multilingual apache 2.0 Installation To use this model, you must install the…
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