Image Classification
timm
PyTorch
Safetensors
vision-transformer
cait
gravitational-lensing
strong-lensing
astronomy
astrophysics
Eval Results (legacy)
Instructions to use parlange/cait-gravit-s3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use parlange/cait-gravit-s3 with timm:
import timm model = timm.create_model("hf_hub:parlange/cait-gravit-s3", pretrained=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 209c07b1aaa7d8548ab96edddedb24254a204077309e2a359efdd110b452f48b
- Size of remote file:
- 186 MB
- SHA256:
- 5a285d7f659e4d8329042fbbd6829056f617ac1539b2be3d68950002f089a7b7
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