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parlange
/
vit-gravit-c2

Image Classification
timm
PyTorch
Safetensors
vit
vision-transformer
transformer
gravitational-lensing
strong-lensing
astronomy
astrophysics
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use parlange/vit-gravit-c2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • timm

    How to use parlange/vit-gravit-c2 with timm:

    import timm
    
    model = timm.create_model("hf_hub:parlange/vit-gravit-c2", pretrained=True)
  • Notebooks
  • Google Colab
  • Kaggle
vit-gravit-c2 / training_curves
295 kB
Ctrl+K
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  • 1 contributor
History: 1 commit
parlange's picture
parlange
Upload ViT model from experiment c2
a55e767 verified 12 months ago
  • ViT_accuracy.png
    38 kB
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  • ViT_auc.png
    36.7 kB
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  • ViT_combined_metrics.png
    142 kB
    xet
    Upload ViT model from experiment c2 12 months ago
  • ViT_f1.png
    37.1 kB
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  • ViT_loss.png
    36.2 kB
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  • ViT_metrics.csv
    5.55 kB
    Upload ViT model from experiment c2 12 months ago