Image Classification
timm
PyTorch
Safetensors
vision-transformer
pit
gravitational-lensing
strong-lensing
astronomy
astrophysics
Eval Results (legacy)
Instructions to use parlange/pit-gravit-b2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use parlange/pit-gravit-b2 with timm:
import timm model = timm.create_model("hf_hub:parlange/pit-gravit-b2", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Rendering notebook...
- Xet hash:
- 3c3de6a6f094797a507afc00d880be9a1fc8d51a11510cccf072feb89369d10f
- Size of remote file:
- 21.9 MB
- SHA256:
- 86376eaa294416a058788d39e0690103d71edc7584329b0c3cbca4358a5ad8f6
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