Models 71
microsoft/beit-large-patch16-224
BEiT model pre-trained in a self-supervised fashion on ImageNet-21k (14 million images, 21,841 classes) at resolution 224x224, and fine-tune…
weighting666/CBraMod
amazon/chronos-bolt-base
🚀 **Update Feb 14, 2025**: Chronos-Bolt models are now available on Amazon SageMaker JumpStart! Check out the tutorial notebook to learn how…
amazon/chronos-t5-large
🚀 **Update Feb 14, 2025**: Chronos-Bolt & original Chronos models are now available on Amazon SageMaker JumpStart! Check out the tutorial no…
timm/vit_huge_patch14_clip_224.laion2b
`timm` CLIP (image encoder only) weights from https://huggingface.co/laion/CLIP-ViT-H-14-laion2B-s32B-b79K
timm/vit_large_patch14_clip_224.openai
The CLIP model was developed by researchers at OpenAI to learn about what contributes to robustness in computer vision tasks. The model was…
timm/convnext_base.fb_in22k
A ConvNeXt image classification model. Pretrained on ImageNet-22k by paper authors.
timm/convnext_large.fb_in22k
A ConvNeXt image classification model. Pretrained on ImageNet-22k by paper authors.
timm/convnext_xxlarge.clip_laion2b_soup_ft_in1k
A ConvNeXt image classification model. CLIP image tower weights pretrained in OpenCLIP on LAION and fine-tuned on ImageNet-1k in `timm` by R…
facebook/convnextv2-huge-22k-512
ConvNeXt V2 model pretrained using the FCMAE framework and fine-tuned on the ImageNet-22K dataset at resolution 512x512. It was introduced i…
facebook/convnextv2-large-22k-224
ConvNeXt V2 model pretrained using the FCMAE framework and fine-tuned on the ImageNet-22K dataset at resolution 224x224. It was introduced i…
project-lighter/ct_fm_feature_extractor
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
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…
timm/densenet121.tv_in1k
A DenseNet image classification model. Trained on ImageNet-1k (original torchvision weights).
facebook/dinov2-base
Vision Transformer (ViT) model trained using the DINOv2 method. It was introduced in the paper DINOv2: Learning Robust Visual Features witho…
facebook/dinov2-giant
Vision Transformer (ViT) model trained using the DINOv2 method. It was introduced in the paper DINOv2: Learning Robust Visual Features witho…
facebook/dinov2-large
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
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
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
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
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
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
AIMI FMs: A Collection of Foundation Models in Radiology
timm/efficientnet_b3.ra2_in1k
A EfficientNet image classification model. Trained on ImageNet-1k in `timm` using recipe template described below.
timm/efficientnetv2_rw_m.agc_in1k
A EfficientNet-v2 image classification model. This is a `timm` specific variation of the architecture. Trained on ImageNet-1k in `timm` usin…
egeozsoy/EndoViT
This section provides a quick start example for using the EndoViT model.
jusiro2/FLAIR
If you find this repository useful, please consider citing: @article{FLAIR, title = {A Foundation Language-Image Model of the Retina (FLAIR)…
ctheodoris/Geneformer
Geneformer is a foundational transformer model pretrained on a large-scale corpus of human single cell transcriptomes to enable context-awar…
IDEA-Research/grounding-dino-base
The Grounding DINO model was proposed in Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection by Shilong L…
bioptimus/H-optimus-0
`H-optimus-0` is an open-source foundation model for histology, developed by Bioptimus. The model is a 1.1B parameter vision transformer tra…