Image Classification
timm
PyTorch
Safetensors
vision-transformer
pit
gravitational-lensing
strong-lensing
astronomy
astrophysics
Eval Results (legacy)
Instructions to use parlange/pit-gravit-b3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use parlange/pit-gravit-b3 with timm:
import timm model = timm.create_model("hf-hub:parlange/pit-gravit-b3", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from parlange/pit-gravit-b3: direct link, hf CLI and curl.
- Browser
- Download file 291 MB
-
https://huggingface.co/parlange/pit-gravit-b3/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://parlange/pit-gravit-b3/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/parlange/pit-gravit-b3/resolve/main/pytorch_model.bin
291 MB
- Xet hash:
- 9d5666484055e3c81c2d9aa6514fb01d7d55d47f167a5485e3e3bde693d0d622
- Size of remote file:
- 291 MB
- SHA256:
- 01e02d406a585b90d523b4f5804cb44e7f626aedea9d00507365e2e56c3d1129
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