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viyog-weights
amanyagami/viyog-weights
viyog-weights is a image classification model from amanyagami. Use it when you need a label for an image. It is set up for timm. The card lists the license as mit.
Finetuned classification checkpoints used in Viyog (separating adversarial from out-of-distribution inputs). 20 architectures (ResNet/DenseNet/ConvNeXt/Swin/ViT + edge backbones) across CIFAR-100, CIFAR-10, GTSRB.
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Public
Updated Jul 13, 2026
Repo size
5 GB
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0
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Repo makeup
Click a slice to open those files.
.pth5 GB · 100%
At a glance
- Task
- Image Classification
- Library
- timm
- License
- mit
- Access
- Public
- Created
- Jul 13, 2026
- Updated
- Jul 13, 2026
- SHA
- b96263ae
Model card
From the Hugging Face model README
Viyog — finetuned backbones
Finetuned classification checkpoints used in Viyog (separating adversarial from out-of-distribution inputs). 20 architectures (ResNet/DenseNet/ConvNeXt/Swin/ViT
- edge backbones) across CIFAR-100, CIFAR-10, GTSRB.
Layout — state_dict .pth files:
- root: the 4 original CIFAR-100 backbones (convnextv2_base, swin_tiny, vit_b, tf_efficientnetv2_l)
cifar100/,cifar10/,gtsrb/: per-dataset checkpoints for every architecture
Package: pip install viyog · code: https://github.com/amanyagami/viyog ·
demo: https://huggingface.co/spaces/amanyagami/viyog
- Task
- Image Classification
- Library
- timm
- License
- mit
- Created
- Jul 13, 2026
- Updated
- Jul 13, 2026