Image Classification
timm
PyTorch
Safetensors
vision-transformer
pit
gravitational-lensing
strong-lensing
astronomy
astrophysics
Eval Results (legacy)
Instructions to use parlange/pit-gravit-b1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use parlange/pit-gravit-b1 with timm:
import timm model = timm.create_model("hf_hub:parlange/pit-gravit-b1", pretrained=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f6e626fde4204efc0474e1e764bb566a72297f713382bbaeb5b047807c6ebe07
- Size of remote file:
- 291 MB
- SHA256:
- 0c0a593e97db3ecad5de1a10312edaa34e3fbe5124aba6e20407c97f08c72f5a
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