metadata

license: mit
language:
  - fr
pipeline_tag: token-classification
tags:
  - biomedical
  - clinical
  - life sciences
datasets:
  - rntc/nuner-pubmed-e3c-french-umls
library_name: transformers

CamemBERT-bio-gliner-v0.1 : Zero-shot French Biomedical Named Entity Recognition

CamemBERT-bio-gliner is a Named Entity Recognition (NER) model capable of identifying any french biomedical entity type using a BERT-like encoder. 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. CamemBERT-bio is used as a backbone. This model is based on the fantastic work of Urchade Zaratiana on the GLiNER architecture.

Important

This is the v0.1 of the CamemBERT-bio-gliner model. There might be a few quirks or unexpected predictions. So, if you notice anything off or have suggestions for improvements, we'd really appreciate hearing from you!

almanach
/

camembert-bio-gliner-v0.1

CamemBERT-bio-gliner-v0.1 : Zero-shot French Biomedical Named Entity Recognition

Important

Links