Ihor
/

Token Classification
GLiNER
PyTorch
English
NER
GLiNER
information extraction
encoder
entity recognition
biomed
anthonyyazdaniml commited on
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  base_model:
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  - microsoft/deberta-v3-base
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  datasets:
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- - knowledgator/GLINER-multi-task-synthetic-data
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- - knowledgator/biomed_NER
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  language:
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  - en
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  library_name: gliner
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  # GLiNER-BioMed
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- The model was presented in the paper [GLiNER-biomed: A Suite of Efficient Models for Open Biomedical Named Entity Recognition](https://huggingface.co/papers/2504.00676).
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  The code is available at [https://github.com/ds4dh/GLiNER-biomed](https://github.com/ds4dh/GLiNER-biomed).
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  ```bibtex
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  @misc{yazdani2025glinerbiomedsuiteefficientmodels,
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- title={GLiNER-biomed: A Suite of Efficient Models for Open Biomedical Named Entity Recognition},
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  author={Anthony Yazdani and Ihor Stepanov and Douglas Teodoro},
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  year={2025},
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  eprint={2504.00676},
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  archivePrefix={arXiv},
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  primaryClass={cs.CL},
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- url={https://arxiv.org/abs/2504.00676},
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  }
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  ```
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  base_model:
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  - microsoft/deberta-v3-base
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  datasets:
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+ - anthonyyazdaniml/gliner-biomed-pre-training
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+ - anthonyyazdaniml/gliner-biomed-post-training
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  language:
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  - en
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  library_name: gliner
 
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  # GLiNER-BioMed
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+ The model was presented in the paper [GLiNER-BioMed: A Suite of Efficient Models for Open Biomedical Named Entity Recognition](https://arxiv.org/abs/2504.00676).
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  The code is available at [https://github.com/ds4dh/GLiNER-biomed](https://github.com/ds4dh/GLiNER-biomed).
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  ```bibtex
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  @misc{yazdani2025glinerbiomedsuiteefficientmodels,
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+ title={GLiNER-BioMed: A Suite of Efficient Models for Open Biomedical Named Entity Recognition},
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  author={Anthony Yazdani and Ihor Stepanov and Douglas Teodoro},
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  year={2025},
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  eprint={2504.00676},
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  archivePrefix={arXiv},
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  primaryClass={cs.CL},
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+ url={https://arxiv.org/abs/2504.00676},
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  }
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  ```
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