Image Classification
timm
PyTorch
Safetensors
deit3
vision-transformer
transformer
gravitational-lensing
strong-lensing
astronomy
astrophysics
Eval Results (legacy)
Instructions to use parlange/deit3-gravit-c2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use parlange/deit3-gravit-c2 with timm:
import timm model = timm.create_model("hf_hub:parlange/deit3-gravit-c2", pretrained=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6c81db8a2528c4cc63f28da5416623002c551c38af8112ab5d97f267fd528759
- Size of remote file:
- 343 MB
- SHA256:
- 8c31c7e499531397bd19d3ba8baf38f1c3b968eb4b3b8a3513d42d96985e3750
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