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
-
timm/ViT-gopt-16-SigLIP2-384
Zero-Shot Image Classification • Updated • 2.85k • 3 -
timm/ViT-gopt-16-SigLIP2-256
Zero-Shot Image Classification • Updated • 170 -
timm/ViT-SO400M-16-SigLIP2-512
Zero-Shot Image Classification • Updated • 1.12k • 4 -
timm/ViT-SO400M-16-SigLIP2-384
Zero-Shot Image Classification • Updated • 67.5k • 4
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 • 2.85k • 3 -
timm/ViT-gopt-16-SigLIP2-256
Zero-Shot Image Classification • Updated • 170 -
timm/ViT-SO400M-16-SigLIP2-512
Zero-Shot Image Classification • Updated • 1.12k • 4 -
timm/ViT-SO400M-16-SigLIP2-384
Zero-Shot Image Classification • Updated • 67.5k • 4
spaces
6
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
1,669
timm/naflexvit_base_patch16_siglip.v2_webli
Image Feature Extraction
•
Updated
•
44
timm/naflexvit_so400m_patch16_siglip.v2_webli
Image Feature Extraction
•
Updated
•
31
timm/mobilenetv5_300m.gemma3n
Image Feature Extraction
•
Updated
•
102
timm/vit_large_patch14_clip_224.metaclip2_worldwide
Zero-Shot Image Classification
•
Updated
•
202
timm/vit_gigantic_patch14_clip_224.metaclip2_worldwide
Zero-Shot Image Classification
•
Updated
•
69
timm/vit_gigantic_patch14_clip_378.metaclip2_worldwide
Zero-Shot Image Classification
•
Updated
•
171
•
2
timm/vit_huge_patch14_clip_378.metaclip2_worldwide
Zero-Shot Image Classification
•
Updated
•
63
•
1
timm/vit_huge_patch14_clip_224.metaclip2_worldwide
Zero-Shot Image Classification
•
Updated
•
174
•
1
timm/vit_huge_patch14_clip_quickgelu_224.metaclip2_worldwide
Image Classification
•
Updated
•
49
timm/vit_large_patch14_clip_quickgelu_224.metaclip2_worldwide
Image Classification
•
Updated
•
12
datasets
15
timm/plant-pathology-2021
Viewer
•
Updated
•
18.6k
•
158
•
5
timm/mini-imagenet
Viewer
•
Updated
•
65k
•
2.46k
•
13
timm/imagenet-22k-wds
Viewer
•
Updated
•
123k
•
985
•
14
timm/imagenet-12k-wds
Viewer
•
Updated
•
127k
•
102
•
9
timm/imagenet-w21-webp-wds
Viewer
•
Updated
•
113k
•
93
•
3
timm/imagenet-w21-wds
Viewer
•
Updated
•
60.1k
•
25
•
4
timm/imagenet-1k-wds
Viewer
•
Updated
•
80.7k
•
18.7k
•
27
timm/imagenet-w21-p
Viewer
•
Updated
•
11.6M
•
34
•
5
timm/eurosat-rgb
Viewer
•
Updated
•
27k
•
235
•
1
timm/resisc45
Viewer
•
Updated
•
31.5k
•
2.84k
•
4