Image Classification
timm
PyTorch
Safetensors
vision-transformer
vit
gravitational-lensing
strong-lensing
astronomy
astrophysics
Eval Results (legacy)
Instructions to use parlange/vit-gravit-a3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use parlange/vit-gravit-a3 with timm:
import timm model = timm.create_model("hf_hub:parlange/vit-gravit-a3", pretrained=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dbf50a6917640c9cb8f9fd3142f9a2e864528c50ffd6a61ff944eb907986f384
- Size of remote file:
- 343 MB
- SHA256:
- 61688f57296e5e0fde9bffa9e785857982cebffd7ceae916a938bd946ac0d1d8
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