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-c3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use parlange/twins_pcpvt-gravit-c3 with timm:
import timm model = timm.create_model("hf_hub:parlange/twins_pcpvt-gravit-c3", pretrained=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5147e40ce5c3df0a7df6664f788ea8c1aa920ecdd5e18c228211d3d60aecd9d6
- Size of remote file:
- 173 MB
- SHA256:
- aa8909d4a90b7a086ed0805891459a3f7cb2a5bcaf35e7adbb6b4ea270bd037d
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