1aurent/vit_small_patch16_224.transpath_mocov3
https://huggingface.co/1aurent/vit_small_patch16_224.transpath_mocov3A Vision Transformer (ViT) image classification model. \ Trained on 15M histology patches from PAIP and TCGA. \ Used the MoCo v3 self supervised learning method.
Sourced from
- HuggingFace — 1aurent/vit_small_patch16_224.transpath_mocov3
Related resources
A Vision Transformer (ViT) image classification model. \ Trained on 2M histology patches from TCGA-BRCA.
A Vision Transformer (ViT) image classification model. \ Trained by Owkin on 40 million pan-cancer histology tiles from TCGA-COAD.
A Vision Transformer (ViT) image classification model. \ Trained by Owkin on 40M pan-cancer histology tiles from TCGA. \ Fine-tuned on LC25000's lung subset.
Sisigoks/FloraSense
by SisigoksFloraSense is a fine-tuned Vision Transformer (ViT) model designed for accurate classification of plant species and flora-related imagery. It builds on top of the powerful google/vit-base-patch16-224 base model and is fine-tuned on the PlanterGARDENEDITION dataset curated by Sisigoks, which…
> [!IMPORTANT] > 🎉 Check out the latest version of Phikon here: Phikon-v2 > > Phikon is a self-supervised learning model for histopathology trained with iBOT.
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.