Image Classification
timm
PyTorch
Safetensors
vision-transformer
deit
gravitational-lensing
strong-lensing
astronomy
astrophysics
Eval Results (legacy)
Instructions to use parlange/deit-gravit-s2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use parlange/deit-gravit-s2 with timm:
import timm model = timm.create_model("hf_hub:parlange/deit-gravit-s2", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Rendering notebook...
- Xet hash:
- 82b9e2c4f2667fb055f18b068ccd276d2e8cc377914e6fb7330b9dbaca4b0e9d
- Size of remote file:
- 21.1 MB
- SHA256:
- 9e73a8ba21cc96bb4ae07864a3b6ce6808bc99f75aa44ab247d52de389940a08
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.