Image Classification
timm
PyTorch
Safetensors
vision-transformer
pit
gravitational-lensing
strong-lensing
astronomy
astrophysics
Eval Results (legacy)
Instructions to use parlange/pit-gravit-b3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use parlange/pit-gravit-b3 with timm:
import timm model = timm.create_model("hf_hub:parlange/pit-gravit-b3", pretrained=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- de9086e5da75d95dfaedafedb3955d206e47350d513b1be560838776372d5be6
- Size of remote file:
- 291 MB
- SHA256:
- b21dce370730d57725c0300c4ef486825afacdbbf82ccc501d031fd1139d03f9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.