Image Classification
timm
PyTorch
Safetensors
vision-transformer
pit
gravitational-lensing
strong-lensing
astronomy
astrophysics
Eval Results (legacy)
Instructions to use parlange/pit-gravit-c3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use parlange/pit-gravit-c3 with timm:
import timm model = timm.create_model("hf_hub:parlange/pit-gravit-c3", pretrained=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 952190c0fe62fcb538c5feb17d0b6c30fe719ec736a056f6bef3a36bed544e81
- Size of remote file:
- 291 MB
- SHA256:
- 906317ef1cbfae6c4c80696cbf474ff807ae146f09b8fa12b5216a38478a801c
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