Image Classification
timm
PyTorch
Safetensors
vision-transformer
deit
gravitational-lensing
strong-lensing
astronomy
astrophysics
Eval Results (legacy)
Instructions to use parlange/deit-gravit-s2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use parlange/deit-gravit-s2 with timm:
import timm model = timm.create_model("hf_hub:parlange/deit-gravit-s2", pretrained=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 565cc25fc7802564858c6d61704e41746c99a8dc7b2a1d1bea4a7fcafd5b07dc
- Size of remote file:
- 343 MB
- SHA256:
- d95de9f13cfc49b946d1af4555c68553041194b753b36827740123cc9adc18d1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.