add README.md

README.md

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+---
+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