Public preview: catalog and authors' cards only, no downloads. Hospital agents use the intranet instance.
🧩 project-lighter/ct_fm_feature_extractor
3D CT·Medical specialty ·0.31 GB ·↓ 2,887 ·♥ 13
This model is a feature extractor for CT-FM, a model pre-trained using contrastive self-supervised learning on a huge dataset of 148,000 CT…
🧩 project-lighter/ct_fm_segresnet
3D CT·Medical specialty ·0.35 GB ·↓ 447 ·♥ 2
This model is a SegResNet containing the weights of the pre-trained CT-FM, using contrastive self-supervised learning on a huge dataset of 1…
🧩 1aurent/swin_tiny_patch4_window7_224.CTransPath
Pathology·Medical specialty ·0.11 GB ·↓ 2,468 ·♥ 3
A Swin Transformer image classification model. \ Trained on 15M histology patches from PAIP and TCGA.
🧩 jamesdolezal/CTransPath
Pathology·Medical specialty ·0.11 GB ·↓ 0 ·♥ 3
This is the pretrained CTransPath model that accompanies the manuscript Transformer-based Unsupervised Contrastive Learning for Histopatholo…
🔒 google/cxr-foundation
Chest X-ray·Medical specialty ·2.83 GB ·↓ 21 ·♥ 107
CXR Foundation google/cxr-foundation issues): cxr-foundation notebooks/quick_start Contact.
🧩 timm/densenet121.tv_in1k
General·General vision ·0.03 GB ·↓ 108,363
A DenseNet image classification model. Trained on ImageNet-1k (original torchvision weights).
🧩 depth-anything/Depth-Anything-V2-Base-hf
General·Segmentation / Detection / Depth ·0.39 GB ·↓ 78,994 ·♥ 4
Depth Anything V2 is trained from 595K synthetic labeled images and 62M+ real unlabeled images, providing the most capable monocular depth e…
🧩 depth-anything/Depth-Anything-V2-Large-hf
General·Segmentation / Detection / Depth ·1.34 GB ·↓ 188,741 ·♥ 33
Depth Anything V2 is trained from 595K synthetic labeled images and 62M+ real unlabeled images, providing the most capable monocular depth e…
🔒 google/derm-foundation
Dermatology·Medical specialty ·2.04 GB ·↓ 224 ·♥ 99
Derm Foundation google/derm-foundation issues): derm-foundation notebooks/quick_start Contact.
🔒 redlessone/DermFM-Zero
Dermatology·Medical specialty ·1.66 GB ·↓ 1,801 ·♥ 6
DermFM-Zero: A Vision-Language Foundation Model for Zero-shot Clinical Collaboration and Automated Concept Discovery in Dermatology
🔒 redlessone/DermLIP_PanDerm-base-w-PubMed-256
Dermatology·Medical specialty ·0.78 GB ·↓ 129 ·♥ 16
Accept the access terms above and log in once with `huggingface-cli login`. Then clone the Derm1M repository: git clone git@github.com:Siyua…
🔒 redlessone/DermLIP_ViT-B-16
Dermatology·Medical specialty ·0.6 GB ·↓ 3,764 ·♥ 13
Accept the access terms above and log in once with `huggingface-cli login`. Then clone the Derm1M repository: git clone git@github.com:Siyua…
🧩 apple/DFN5B-CLIP-ViT-H-14-378
General·General vision ·7.9 GB ·↓ 870,752 ·♥ 112
A CLIP (Contrastive Language-Image Pre-training) model trained on DFN-5B. Data Filtering Networks (DFNs) are small networks used to automati…
🧩 facebook/dinov2-base
General·General vision ·0.35 GB ·↓ 3,098,453 ·♥ 214
Vision Transformer (ViT) model trained using the DINOv2 method. It was introduced in the paper DINOv2: Learning Robust Visual Features witho…
🧩 facebook/dinov2-giant
General·General vision ·4.55 GB ·↓ 186,105 ·♥ 68
Vision Transformer (ViT) model trained using the DINOv2 method. It was introduced in the paper DINOv2: Learning Robust Visual Features witho…
🧩 facebook/dinov2-large
General·General vision ·1.22 GB ·↓ 867,763 ·♥ 125
Vision Transformer (ViT) model trained using the DINOv2 method. It was introduced in the paper DINOv2: Learning Robust Visual Features witho…
🧩 facebook/dinov2-with-registers-base
General·General vision ·0.35 GB ·↓ 196,136 ·♥ 14
Vision Transformer (ViT) model introduced in the paper Vision Transformers Need Registers by Darcet et al. and first released in this reposi…
🧩 facebook/dinov2-with-registers-giant
General·General vision ·4.55 GB ·↓ 18,458 ·♥ 10
Vision Transformer (ViT) model introduced in the paper Vision Transformers Need Registers by Darcet et al. and first released in this reposi…
🧩 facebook/dinov2-with-registers-large
General·General vision ·1.22 GB ·↓ 71,119 ·♥ 18
Vision Transformer (ViT) model introduced in the paper Vision Transformers Need Registers by Darcet et al. and first released in this reposi…
🧩 facebook/dinov2-with-registers-small
General·General vision ·0.09 GB ·↓ 40,534 ·♥ 12
Vision Transformer (ViT) model introduced in the paper Vision Transformers Need Registers by Darcet et al. and first released in this reposi…
🧩 facebook/dinov2-small
General·General vision ·0.09 GB ·↓ 2,745,598 ·♥ 85
Vision Transformer (ViT) model trained using the DINOv2 method. It was introduced in the paper DINOv2: Learning Robust Visual Features witho…
🧩 StanfordAIMI/dinov2-base-xray-224
Chest X-ray·Medical specialty ·0.34 GB ·↓ 4,252 ·♥ 4
AIMI FMs: A Collection of Foundation Models in Radiology
🔒 facebook/dinov3-vit7b16-pretrain-lvd1689m
General·General vision ·26.86 GB ·↓ 7,361 ·♥ 297
DINOv3 is a family of versatile vision foundation models that outperforms the specialized state of the art across a broad range of settings,…
🔒 facebook/dinov3-vitb16-pretrain-lvd1689m
General·General vision ·0.34 GB ·↓ 463,307 ·♥ 479
DINOv3 is a family of versatile vision foundation models that outperforms the specialized state of the art across a broad range of settings,…
🔒 facebook/dinov3-convnext-base-pretrain-lvd1689m
General·General vision ·0.35 GB ·↓ 5,825 ·♥ 33
DINOv3 is a family of versatile vision foundation models that outperforms the specialized state of the art across a broad range of settings,…
🔒 facebook/dinov3-convnext-large-pretrain-lvd1689m
General·General vision ·0.78 GB ·↓ 12,440 ·♥ 39
DINOv3 is a family of versatile vision foundation models that outperforms the specialized state of the art across a broad range of settings,…
🔒 facebook/dinov3-vith16plus-pretrain-lvd1689m
General·General vision ·3.36 GB ·↓ 41,841 ·♥ 89
DINOv3 is a family of versatile vision foundation models that outperforms the specialized state of the art across a broad range of settings,…
🔒 facebook/dinov3-vitl16-pretrain-lvd1689m
General·General vision ·1.21 GB ·↓ 738,000 ·♥ 1493
DINOv3 is a family of versatile vision foundation models that outperforms the specialized state of the art across a broad range of settings,…
🔒 facebook/dinov3-vits16-pretrain-lvd1689m
General·General vision ·0.09 GB ·↓ 255,303 ·♥ 386
DINOv3 is a family of versatile vision foundation models that outperforms the specialized state of the art across a broad range of settings,…
🧩 zhihan1996/DNABERT-2-117M
Molecular / Omics·Molecular / Omics ·0.47 GB ·↓ 272,160 ·♥ 113
This is the official pre-trained model introduced in DNABERT-2: Efficient Foundation Model and Benchmark For Multi-Species Genome .