Models 197

model = timm.create_model( 'hf-hub:Wangyh/mSTAR', pretrained=True, init_values=1e-5, dynamic_img_size=True ) transform = transforms.Compose(…

Jinxi Xiang‡, Xiyue Wang‡, Xiaoming Zhang, Yinghua Xi, Feyisope Eweje, Yijiang Chen, Yuchen Li, Colin Bergstrom, Matthew Gopaulchan, Ted Kim…

This repository hosts the official model checkpoints for `nnInteractive`, a state-of-the-art framework for 3D promptable segmentation.

The Nucleotide Transformers are a collection of foundational language models that were pre-trained on DNA sequences from whole-genomes. Comp…

Path Foundation google/path-foundation issues): path-foundation notebooks/quick_start Contact.

[\\[📃 Tech Report\\]](https://arxiv.org/abs/2504.13181) [\\[📂 Github\\]](https://github.com/facebookresearch/perception_models/)

[\[📃 Tech Report\]](https://arxiv.org/abs/2504.13181) [\[📂 Github\]](https://github.com/facebookresearch/perception_models/)

[\[📃 Tech Report\]](https://arxiv.org/abs/2504.13181) [\[📂 Github\]](https://github.com/facebookresearch/perception_models/)

[\[📃 Tech Report\]](https://arxiv.org/abs/2504.13181) [\[📂 Github\]](https://github.com/facebookresearch/perception_models/)

Phikon is a self-supervised learning model for histopathology trained with iBOT.

Phikon-v2 is a Vision Transformer Large pre-trained with Dinov2 self-supervised method on PANCAN-XL, a dataset of 450M 20x magnification his…

[[📄 arXiv]](https://arxiv.org/abs/2506.05127)[[GitHub]](https://github.com/cvlab-stonybrook/PixCell)[[🔬 PixCell-1024]](https://huggingface.c…

The model is intended as a research output for research communities. We hope that this model will enable researchers to better understand an…

The model is fine-tuned from openai's ViT-L-14 using PMC_OA_beta and roco's data sets, using the tool open_clip（https://github.com/mlfoundat…

PRISM is a multi-modal generative foundation model for slide-level analysis of H&E-stained histopathology images. Utilizing Virchow tile emb…

[[`Code`]](https://github.com/prov-gigapath/prov-gigapath) [`Model`] [`Paper`] [`BibTeX`]

PubMedCLIP is a fine-tuned version of CLIP for the medical domain.

QuiltNet-B-16 is a CLIP ViT-B/16 vision-language foundation model trained on the Quilt-1M dataset curated from representative histopathology…

QuiltNet-B-32 is a CLIP ViT-B/32 vision-language foundation model trained on the Quilt-1M dataset curated from representative histopathology…

RAD-DINO is a vision transformer model trained to encode chest X-rays using the self-supervised learning method DINOv2.

RAD-DINO-MAIRA-2 is a vision transformer model trained to encode chest X-rays using the self-supervised learning method DINOv2. RAD-DINO-MAI…

Mike Ranzinger, Greg Heinrich, Jan Kautz, Pavlo Molchanov

A RegNetY-16GF image classification model. Pretrained according to SWAG: weakly-supervised learning on ~3.6B Instagram images and associated…

Trained on ImageNet-1k in `timm` using recipe template described below.

Trained on ImageNet-1k in `timm` using recipe template described below.

A ResNet50 image classification model. \ Trained on 2M histology patches from TCGA-BRCA.

This repo contains the weights of RetFiner-VisionFM from the paper RetFiner: A Vision-Language Refinement Scheme for Retinal Foundation Mode…

This modelcard aims to provide a pre-trained vision foundation model RETFound, pre-trained with Masked Autoencoder.

This modelcard aims to provide a pre-trained vision foundation model RETFound, pre-trained with DINOV2 on a part of AlzEye data.

This modelcard aims to provide a pre-trained vision foundation model RETFound, pre-trained with DINOV2 on a part of SDPP data.