Image Classification
timm
PyTorch
Safetensors
vision-transformer
deit
gravitational-lensing
strong-lensing
astronomy
astrophysics
Eval Results (legacy)
Instructions to use parlange/deit-gravit-b2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use parlange/deit-gravit-b2 with timm:
import timm model = timm.create_model("hf_hub:parlange/deit-gravit-b2", pretrained=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a64317eda9e24e8afbdccaad3fa86b05376a58b0b661a0aeb29d104881449a3e
- Size of remote file:
- 343 MB
- SHA256:
- 1e0596a0c3e7727ad1edcfae6aa2b785304de6d5ecef21325d870a6e2e76feb6
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