---
license: mit
language:
- fr
pipeline_tag: token-classification
tags:
- biomedical
- clinical
- life sciences
datasets:
- rntc/nuner-pubmed-e3c-french-umls
# widget:
# - text: >-
#     Les médicaments <mask> typiques sont largement utilisés dans le traitement
#     de première intention des patients schizophrènes.
library_name: transformers
---

<a href=https://camembert-bio-model.fr/>
  <img width="300px" src="https://camembert-bio-model.fr/authors/camembert-bio/camembert-bio-ner-logo.png">
</a>

# 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](https://huggingface.co/almanach/camembert-bio-base) is used as a backbone.
        This model is based on the fantastic work of [Urchade Zaratiana](https://huggingface.co/urchade) on the [GLiNER](https://github.com/urchade/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!


## Links

* Model: https://huggingface.co/almanach/camembert-bio-gliner-v0.1
* Backbone model: https://huggingface.co/almanach/camembert-bio-base
* GLiNER library: https://github.com/urchade/GLiNER
* Developed by: [Rian Touchent](https://rian-t.github.io), [Eric Villemonte de La Clergerie](http://pauillac.inria.fr/~clerger/)
* Logo by: [Alix Chagué](https://alix-tz.github.io/), [Rian Touchent](https://rian-t.github.io)
* License: MIT