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-a2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use parlange/twins_pcpvt-gravit-a2 with timm:
import timm model = timm.create_model("hf_hub:parlange/twins_pcpvt-gravit-a2", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Rendering notebook...
- Xet hash:
- 5dcce389d749a290e343193b67bfa9f875098b706e782794b6a46ecf8b9140f2
- Size of remote file:
- 21.2 MB
- SHA256:
- dc5d440a78b5d761bd1d79a4e23ab72bfc8a4744ca67cb8ad7dc260bdf23e550
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