Image Classification
timm
PyTorch
Safetensors
cvt
vision-transformer
transformer
gravitational-lensing
strong-lensing
astronomy
astrophysics
Eval Results (legacy)
Instructions to use parlange/cvt-gravit-c2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use parlange/cvt-gravit-c2 with timm:
import timm model = timm.create_model("hf_hub:parlange/cvt-gravit-c2", pretrained=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4c196dd78e875612643adf9a821d4399155653e268082e1b3902fec2d7f7de8b
- Size of remote file:
- 125 MB
- SHA256:
- e003815d79d6f2a95583e2f46e27a357d42c225b8e9b6448e6464767bca64c9d
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