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convnextv2-nano-k5-in1k-128
PRadecki/convnextv2-nano-k5-in1k-128
convnextv2-nano-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-Nano (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
- Dec 31, 2025
- Updated
- Jan 2, 2026
- SHA
- 3013a6b7
Model card
From the Hugging Face model README
Model card for convnextv2-nano-k5-in1k-128
ConvNeXtV2-Nano (k=5) trained from scratch on ImageNet-1K @ 128x128.
Training Recipe:
- ConvNeXt-V2 (Woo et al., 2023) Table 9, IN-1K Nano end-to-end.
- BF16 AMP
Model Details
- Model: convnextv2_nano
- Model Kwargs:
- kernel_sizes: 5
- Input Size:
- 3x128x128
- Top-1 Accuracy: 76.71000001876831
Model Usage
import timm
model = timm.create_model('hf-hub:PRadecki/convnextv2-nano-k5-in1k-128', pretrained=True)
model.eval()
- Task
- Image Classification
- Library
- timm
- License
- apache-2.0
- Created
- Dec 31, 2025
- Updated
- Jan 2, 2026