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parlange
/
twins_pcpvt-gravit-c3

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

Instructions to use parlange/twins_pcpvt-gravit-c3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • timm

    How to use parlange/twins_pcpvt-gravit-c3 with timm:

    import timm
    
    model = timm.create_model("hf_hub:parlange/twins_pcpvt-gravit-c3", pretrained=True)
  • Notebooks
  • Google Colab
  • Kaggle
twins_pcpvt-gravit-c3 / training_curves
302 kB
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  • 1 contributor
History: 1 commit
parlange's picture
parlange
Upload Twins_PCPVT model from experiment c3
0b0fd6d verified about 1 year ago
  • Twins_PCPVT_accuracy.png
    39.7 kB
    Upload Twins_PCPVT model from experiment c3 about 1 year ago
  • Twins_PCPVT_auc.png
    35.5 kB
    Upload Twins_PCPVT model from experiment c3 about 1 year ago
  • Twins_PCPVT_combined_metrics.png
    145 kB
    xet
    Upload Twins_PCPVT model from experiment c3 about 1 year ago
  • Twins_PCPVT_f1.png
    38.5 kB
    Upload Twins_PCPVT model from experiment c3 about 1 year ago
  • Twins_PCPVT_loss.png
    37.5 kB
    Upload Twins_PCPVT model from experiment c3 about 1 year ago
  • Twins_PCPVT_metrics.csv
    5.26 kB
    Upload Twins_PCPVT model from experiment c3 about 1 year ago