Image Classification
timm
PyTorch
Safetensors
vision-transformer
twins_svt
gravitational-lensing
strong-lensing
astronomy
astrophysics
Eval Results (legacy)
Instructions to use parlange/twins_svt-gravit-s1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use parlange/twins_svt-gravit-s1 with timm:
import timm model = timm.create_model("hf_hub:parlange/twins_svt-gravit-s1", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Rendering notebook...
- Xet hash:
- da862f38113aaf6ba25deba8aac8fb4359b4ebd702dc95783c1e84d04bcf0ba6
- Size of remote file:
- 21.6 MB
- SHA256:
- 5fde8d0edb0fce18cd2edb45873672d95235c390ee6a869caec1a89f24966099
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