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convnextv2-tiny-k5-in1k-128
PRadecki/convnextv2-tiny-k5-in1k-128
convnextv2-tiny-k5-in1k-128 is a image classification model from PRadecki. Use it when you need a label for an image. It is set up for timm. The card lists the license as apache-2.0.
ConvNeXtV2-Tiny (k=5) trained from scratch on ImageNet-1K @128x128.
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At a glance
- Task
- Image Classification
- Library
- timm
- License
- apache-2.0
- Access
- Public
- Created
- Jan 5, 2026
- Updated
- Jan 5, 2026
- SHA
- eb910bbb
Model card
From the Hugging Face model README
Model card for convnextv2-tiny-k5-in1k-128
ConvNeXtV2-Tiny (k=5) trained from scratch on ImageNet-1K @128x128.
Training Recipe:
- ConvNeXt supervised recipe -- Table 5.
- BF16 AMP
Model Details
- Model: convnextv2_tiny
- Model Kwargs:
- kernel_sizes: 5
- Input Size:
- 3x128x128
- Top-1 Accuracy: 79.73000010971069
Model Usage
import timm
model = timm.create_model('hf-hub:PRadecki/convnextv2-tiny-k5-in1k-128-sup', pretrained=True)
model.eval()
- Task
- Image Classification
- Library
- timm
- License
- apache-2.0
- Created
- Jan 5, 2026
- Updated
- Jan 5, 2026