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README.md
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---
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license: apache-2.0
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base_model:
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- urchade/gliner_multi-v2.1
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---
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# About
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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.
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## Links
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* Paper: https://arxiv.org/abs/2311.08526
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* Repository: https://github.com/urchade/GLiNER
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## Citation
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```bibtex
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@misc{zaratiana2023gliner,
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title={GLiNER: Generalist Model for Named Entity Recognition using Bidirectional Transformer},
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author={Urchade Zaratiana and Nadi Tomeh and Pierre Holat and Thierry Charnois},
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year={2023},
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eprint={2311.08526},
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archivePrefix={arXiv},
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primaryClass={cs.CL}
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}
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```
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