Image Classification
timm
PyTorch
Safetensors
pit
vision-transformer
transformer
gravitational-lensing
strong-lensing
astronomy
astrophysics
Eval Results (legacy)
Instructions to use parlange/pit-gravit-c2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use parlange/pit-gravit-c2 with timm:
import timm model = timm.create_model("hf_hub:parlange/pit-gravit-c2", pretrained=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6039948ca018d4807846d60b60436237b1bff1a5860b94c670e1404f9ece62be
- Size of remote file:
- 291 MB
- SHA256:
- 610198bdc074942f3128395ac2af223bc5692124344e78135ce9e033f2540fab
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