Image Classification
timm
PyTorch
Safetensors
vision-transformer
twins_pcpvt
gravitational-lensing
strong-lensing
astronomy
astrophysics
Eval Results (legacy)
Instructions to use parlange/twins_pcpvt-gravit-a1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use parlange/twins_pcpvt-gravit-a1 with timm:
import timm model = timm.create_model("hf_hub:parlange/twins_pcpvt-gravit-a1", pretrained=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 85a909a5c5651d9ef3d8d571035352b6a4dd5e99dbfc80dc222f78430d928860
- Size of remote file:
- 173 MB
- SHA256:
- 24a2e94e33c64164049eb9069b6aae8f0d563d9317183ff562f20116b84d19f2
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