Image Classification
timm
PyTorch
Safetensors
vision-transformer
pit
gravitational-lensing
strong-lensing
astronomy
astrophysics
Eval Results (legacy)
Instructions to use parlange/pit-gravit-b2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use parlange/pit-gravit-b2 with timm:
import timm model = timm.create_model("hf_hub:parlange/pit-gravit-b2", pretrained=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1f9dd746cff45c16cc81e87f79f5d797f9520cf9bfe70a17063f5b7ca6b6eedc
- Size of remote file:
- 291 MB
- SHA256:
- a21fe4656284c42d69a880e1d57c023aa1568917f4cc2ae72acc0c34df88faff
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