Image Classification
timm
PyTorch
Safetensors
cait
vision-transformer
transformer
gravitational-lensing
strong-lensing
astronomy
astrophysics
Eval Results (legacy)
Instructions to use parlange/cait-gravit-c3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use parlange/cait-gravit-c3 with timm:
import timm model = timm.create_model("hf-hub:parlange/cait-gravit-c3", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from parlange/cait-gravit-c3: direct link, hf CLI and curl.
- Browser
- Download file 186 MB
-
https://huggingface.co/parlange/cait-gravit-c3/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://parlange/cait-gravit-c3/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/parlange/cait-gravit-c3/resolve/main/pytorch_model.bin
186 MB
- Xet hash:
- 48ae3db0685113ed403a125fb696d11f2c6efe2f429532d39e2c488a31b67e46
- Size of remote file:
- 186 MB
- SHA256:
- e62efc7c8b79845f11e813bcd88fe88c3744426860fa205c40e8d359f49c003d
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