Image Classification
timm
PyTorch
Safetensors
vit
vision-transformer
transformer
gravitational-lensing
strong-lensing
astronomy
astrophysics
Eval Results (legacy)
Instructions to use parlange/vit-gravit-c2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use parlange/vit-gravit-c2 with timm:
import timm model = timm.create_model("hf_hub:parlange/vit-gravit-c2", pretrained=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bb1dff1aaa40f5abf32e108e4deaefe7ec59ac2da4061195ceda907f75c8ecaf
- Size of remote file:
- 343 MB
- SHA256:
- c27e9a389eabd73858118d5a23fed1f59fb1d8906a9e4b31983fe2cef1a1b1c9
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