This model is a high-performance Named Entity Recognition (NER) model designed specifically for medical text. It identifies entities such as diseases, symptoms, procedures, medications, and healthcare providers with high precision and recall, making it ideal for clinical and healthcare applications.

Idle281 year ago

Python

epfl-llm/meditron-70b

by epfl-llm

text-generation

Model

Stale1812 years ago

Python

HUMADEX/english_medical_ner

by HUMADEX

token-classification

Model

This model had been created as part of joint research of HUMADEX research group (https://www.linkedin.com/company/101563689/) and has received funding by the European Union Horizon Europe Research and Innovation Program project SMILE (grant number 101080923) and Marie Skłodowska-Curie Actions…

Idle3011 year ago

Acryl-aLLM/ALLM.H-Bv4-Gemma4-31B-BF16

by Acryl-aLLM

text-generation

Model

Active135 months ago

Python