lokeshch19/ModernPubMedBERT
https://huggingface.co/lokeshch19/ModernPubMedBERTA specialized medical embedding model fine-tuned from Clinical ModernBERT using InfoNCE contrastive learning on PubMed title-abstract pairs.
Sourced from
- HuggingFace — lokeshch19/ModernPubMedBERT
Related resources
FremyCompany/BioLORD-2023
by FremyCompany# FremyCompany/BioLORD-2023 This model was trained using BioLORD, a new pre-training strategy for producing meaningful representations for clinical sentences and biomedical concepts.
FremyCompany/BioLORD-2023-M
by FremyCompany# FremyCompany/BioLORD-2023-M This model was trained using BioLORD, a new pre-training strategy for producing meaningful representations for clinical sentences and biomedical concepts.
Healthcare Brain Diagnosis ICD NER is a transformer-based clinical Named Entity Recognition model developed by Genzeon Platforms for automated extraction of diagnoses, conditions, and support for ICD-10/SNOMED code mapping from unstructured clinical text.
iti-visual-analytics/GRamma-12B
by iti-visual-analyticsGRamma-12B is a 12-billion-parameter instruction-tuned language model specialized for the Greek medical domain. It is built on top of Gemma 3 12B Instruct and adapted through parameter-efficient fine-tuning on a collection of Greek and bilingual medical question-answering data.
The Clinical Assertion and Negation Classification BERT is introduced in the paper Assertion Detection in Clinical Notes: Medical Language Models to the Rescue? . The model helps structure information in clinical patient letters by classifying medical conditions mentioned in the letter into…
zeroentropy/zerank-1-small-reranker
by zeroentropyIn search enginers, rerankers are crucial for improving the accuracy of your retrieval system.