lokeshch19/ModernPubMedBERT

https://huggingface.co/lokeshch19/ModernPubMedBERT
Idleby lokeshch192.8K26updated 1 year ago
Python

A 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 This model was trained using BioLORD, a new pre-training strategy for producing meaningful representations for clinical sentences and biomedical concepts.

Idle431.8K1 year ago
Python

Developed by

Active1882 weeks ago
Python

# 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.

Idle37.1K1 year ago
Python

Typed-decision adapter for Qwen3.5-4B, tuned on clinical question answering, financial news sentiment and structured record-level workflow decisions.

Active112 days ago
Python

In search enginers, rerankers are crucial for improving the accuracy of your retrieval system.

Idle22.9K7 months ago
Python

Neeto-1.0-8b is an openly released biomedical large language model (LLM) created by BYOL Academy to assist learners and practitioners with medical exam study, literature understanding, and structured clinical reasoning.

Idle7.7K1 year ago
Python