OpenCLIP (PE Core image + text) and timm PE Core, Spatial, Lang (ViT only) weights. NOTE: These weights do not work with original modeling code.
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timm
PyTorch Image Models (timm) is a collection of image models, layers, utilities, optimizers, schedulers, data-loaders / augmentations, and reference training / validation scripts that aim to pull together a wide variety of SOTA models with ability to reproduce ImageNet training results.
- Find all the timm models here.
- timm github repository
- timm documentation 📚
OpenCLIP and timm SigLIP 2 models
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timm/ViT-gopt-16-SigLIP2-384
Zero-Shot Image Classification • Updated • 11.8k • 3 -
timm/ViT-gopt-16-SigLIP2-256
Zero-Shot Image Classification • Updated • 333 -
timm/ViT-SO400M-16-SigLIP2-512
Zero-Shot Image Classification • Updated • 8.71k • 4 -
timm/ViT-SO400M-16-SigLIP2-384
Zero-Shot Image Classification • Updated • 39k • 3
OpenCLIP (PE Core image + text) and timm PE Core, Spatial, Lang (ViT only) weights. NOTE: These weights do not work with original modeling code.
OpenCLIP and timm SigLIP 2 models
-
timm/ViT-gopt-16-SigLIP2-384
Zero-Shot Image Classification • Updated • 11.8k • 3 -
timm/ViT-gopt-16-SigLIP2-256
Zero-Shot Image Classification • Updated • 333 -
timm/ViT-SO400M-16-SigLIP2-512
Zero-Shot Image Classification • Updated • 8.71k • 4 -
timm/ViT-SO400M-16-SigLIP2-384
Zero-Shot Image Classification • Updated • 39k • 3
spaces
5
Running
7
Timm + Transformers
😻
Any timm model with the transformers integration
Running
3
JupyterLab (timm)
💻
Improved JuptyerLab template w/ timm
Running
69
The timm Leaderboard
🏆
Display and analyze PyTorch Image Models leaderboard
Running
16
timm Attention Visualization
👁
Visualize attention maps for images using selected models
Runtime error
3
timm CAM
📚
models
1,667
timm/mobilenetv5_300m.gemma3n
Image Feature Extraction
•
Updated
•
29
timm/vit_large_patch14_clip_224.metaclip2_worldwide
Zero-Shot Image Classification
•
Updated
•
60
timm/vit_gigantic_patch14_clip_224.metaclip2_worldwide
Zero-Shot Image Classification
•
Updated
•
18
timm/vit_gigantic_patch14_clip_378.metaclip2_worldwide
Zero-Shot Image Classification
•
Updated
•
17
timm/vit_huge_patch14_clip_378.metaclip2_worldwide
Zero-Shot Image Classification
•
Updated
•
15
timm/vit_huge_patch14_clip_224.metaclip2_worldwide
Zero-Shot Image Classification
•
Updated
•
29
timm/vit_huge_patch14_clip_quickgelu_224.metaclip2_worldwide
Image Classification
•
Updated
•
5
timm/vit_large_patch14_clip_quickgelu_224.metaclip2_worldwide
Image Classification
•
Updated
•
7
timm/levit_128s.fb_dist_in1k
Image Classification
•
0.0B
•
Updated
•
1.96k
•
2
timm/levit_192.fb_dist_in1k
Image Classification
•
0.0B
•
Updated
•
220
datasets
15
timm/plant-pathology-2021
Viewer
•
Updated
•
18.6k
•
180
•
5
timm/mini-imagenet
Viewer
•
Updated
•
65k
•
2.59k
•
13
timm/imagenet-22k-wds
Viewer
•
Updated
•
123k
•
7.64k
•
14
timm/imagenet-12k-wds
Viewer
•
Updated
•
127k
•
519
•
9
timm/imagenet-w21-webp-wds
Viewer
•
Updated
•
113k
•
10
•
3
timm/imagenet-w21-wds
Viewer
•
Updated
•
60.1k
•
23
•
4
timm/imagenet-1k-wds
Viewer
•
Updated
•
80.7k
•
29.3k
•
27
timm/imagenet-w21-p
Viewer
•
Updated
•
11.6M
•
39
•
5
timm/eurosat-rgb
Viewer
•
Updated
•
27k
•
294
•
1
timm/resisc45
Viewer
•
Updated
•
31.5k
•
2.94k
•
2