Image Classification
timm
PyTorch
Safetensors
vision-transformer
deit
gravitational-lensing
strong-lensing
astronomy
astrophysics
Eval Results (legacy)
Instructions to use parlange/deit-gravit-a2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use parlange/deit-gravit-a2 with timm:
import timm model = timm.create_model("hf_hub:parlange/deit-gravit-a2", pretrained=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 251453bbc440a8bfaf6c6762835f1146ff4991551e1b012ed74ba92ca2cd9ca8
- Size of remote file:
- 343 MB
- SHA256:
- 71fcb01d56be1c317e44e4cffabf2b3fd3a5335cb01ff78bdb3060b8ddb7215f
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