Models 197
apple/aimv2-1B-patch14-224
We introduce the AIMv2 family of vision models pre-trained with a multimodal autoregressive objective. AIMv2 pre-training is simple and stra…
apple/aimv2-huge-patch14-448
We introduce the AIMv2 family of vision models pre-trained with a multimodal autoregressive objective. AIMv2 pre-training is simple and stra…
apple/aimv2-large-patch14-224
We introduce the AIMv2 family of vision models pre-trained with a multimodal autoregressive objective. AIMv2 pre-training is simple and stra…
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…
microsoft/BiomedCLIP-PubMedBERT_256-vit_base_patch16_224
BiomedCLIP is a biomedical vision-language foundation model that is pretrained on PMC-15M, a dataset of 15 million figure-caption pairs extr…
microsoft/BiomedParse
This is the official model checkpoint repo for "A foundation model for joint segmentation, detection and recognition of biomedical objects a…
braindecode/biot-pretrained-six-datasets-18chs
This model has been pushed to the Hub using the PytorchModelHubMixin integration:
microsoft/BiomedVLP-BioViL-T
BioViL-T is a domain-specific vision-language model designed to analyze chest X-rays (CXRs) and radiology reports. It was trained using a te…
nvidia/C-RADIOv2-B
[**Github**] [**CVPR 2025**] [**CVPR 2024**]
nvidia/C-RADIOv2-H
[**Github**] [**CVPR 2025**] [**CVPR 2024**]
nvidia/C-RADIOv2-L
[**Github**] [**CVPR 2025**] [**CVPR 2024**]
nvidia/C-RADIOv3-H
[**Github**] [**CVPR 2025**] [**CVPR 2024**]
nvidia/C-RADIOv3-L
[**Github**] [**CVPR 2025**] [**CVPR 2024**]
weighting666/CBraMod
StanfordAIMI/CheXagent-2-3b
python=3.10 torch==2.7.1 # may work with more recent version torchvision==0.22.1 transformers==4.40.0 opencv-python albumentations accelerat…
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…
openai/clip-vit-base-patch16
Disclaimer: The model card is taken and modified from the official CLIP repository, it can be found here.
laion/CLIP-ViT-bigG-14-laion2B-39B-b160k
1. Model Details 2. Uses 3. Training Details 4. Evaluation 5. Acknowledgements 6. Citation 7. How To Get Started With the Model
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
laion/CLIP-ViT-H-14-laion2B-s32B-b79K
1. Model Details 2. Uses 3. Training Details 4. Evaluation 5. Acknowledgements 6. Citation 7. How To Get Started With the Model
openai/clip-vit-large-patch14
Disclaimer: The model card is taken and modified from the official CLIP repository, it can be found here.
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…
MahmoodLab/CONCH
\[Journal Link\] | \[Open Access Read Link\] | \[Github Repo\] | \[Cite\]
MahmoodLab/conchv1_5
CONCHv1_5 is based on the CONCH model, a vision-language model pretrained on 1.17 image/captions in histopathology. CONCHv1_5 is based on a…
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…