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parlange
/
twins_svt-gravit-a1

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

Instructions to use parlange/twins_svt-gravit-a1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • timm

    How to use parlange/twins_svt-gravit-a1 with timm:

    import timm
    
    model = timm.create_model("hf_hub:parlange/twins_svt-gravit-a1", pretrained=True)
  • Notebooks
  • Google Colab
  • Kaggle
twins_svt-gravit-a1 / training_curves
308 kB
Ctrl+K
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  • 1 contributor
History: 1 commit
parlange's picture
parlange
Upload Twins_SVT model from experiment a1
a284172 verified about 1 year ago
  • Twins_SVT_accuracy.png
    37.8 kB
    Upload Twins_SVT model from experiment a1 about 1 year ago
  • Twins_SVT_auc.png
    33.7 kB
    Upload Twins_SVT model from experiment a1 about 1 year ago
  • Twins_SVT_combined_metrics.png
    146 kB
    xet
    Upload Twins_SVT model from experiment a1 about 1 year ago
  • Twins_SVT_f1.png
    37.5 kB
    Upload Twins_SVT model from experiment a1 about 1 year ago
  • Twins_SVT_loss.png
    40.1 kB
    Upload Twins_SVT model from experiment a1 about 1 year ago
  • Twins_SVT_metrics.csv
    12.5 kB
    Upload Twins_SVT model from experiment a1 about 1 year ago