Image Classification
timm
PyTorch
Safetensors
vision-transformer
deit3
gravitational-lensing
strong-lensing
astronomy
astrophysics
Eval Results (legacy)
Instructions to use parlange/deit3-gravit-a1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use parlange/deit3-gravit-a1 with timm:
import timm model = timm.create_model("hf_hub:parlange/deit3-gravit-a1", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Rendering notebook...
- Xet hash:
- b2f5ba9d0a4285bbf8be4380fcb96bfac54588b72fa271b620b583b0efad3634
- Size of remote file:
- 21.3 MB
- SHA256:
- dd02b368229285f26aaddbf268f0a1c8ee16d770f1a97bde59364cad96f491c1
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