Models

Biomni-R0-32B-Preview is a biomedical AI agent model from Stanford (Leskovec lab): Qwen3-32B trained by multi-turn reinforcement learning inside the Biomni…

Source code repository mirrored from GitHub (bowang-lab/scGPT).

ESMFold is a state-of-the-art end-to-end protein folding model based on an ESM-2 backbone.

This set of model weights was released with the GitHub-compatible esm package format.

ESM-2 is a state-of-the-art protein model trained on a masked language modelling objective.

ESM-2 is a state-of-the-art protein model trained on a masked language modelling objective.

ESM-2 is a state-of-the-art protein model trained on a masked language modelling objective.

This repository contains a fine-tuned Vision Transformer (ViT) model for classifying chest X-ray images, utilizing the CheXpert dataset.

This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or…

BiomedCLIP is a biomedical vision-language foundation model that is pretrained on PMC-15M, a dataset of 15 million figure-caption pairs extracted from…

ESM-2 is a state-of-the-art protein model trained on a masked language modelling objective.

ESM-2 is a state-of-the-art protein model trained on a masked language modelling objective.

ESM-2 is a state-of-the-art protein model trained on a masked language modelling objective.

CXR-BERT is a chest X-ray (CXR) domain-specific language model that makes use of an improved vocabulary, novel pretraining procedure, weight regularization,…

Pre-trained language models have attracted increasing attention in the biomedical domain, inspired by their great success in the general natural language…

The Publicly Available Clinical BERT Embeddings paper contains four unique clinicalBERT models: initialized with BERT-Base (casedL-12H-768A-12) or BioBERT…

This model was previously named "PubMedBERT (abstracts + full text)".