Image Classification
timm
PyTorch
Safetensors
cait
vision-transformer
transformer
gravitational-lensing
strong-lensing
astronomy
astrophysics
Eval Results (legacy)
Instructions to use parlange/cait-gravit-c1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use parlange/cait-gravit-c1 with timm:
import timm model = timm.create_model("hf_hub:parlange/cait-gravit-c1", pretrained=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 507ab22b410b19711f9708e83695e16788514f9bd6f1710cfabac83049a6add5
- Size of remote file:
- 186 MB
- SHA256:
- abffad7ed3a6951b627e0d27091c4404ebbc222cb1028839bba78cbf9ea1107e
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