Image Classification
timm
PyTorch
Safetensors
deit
vision-transformer
transformer
gravitational-lensing
strong-lensing
astronomy
astrophysics
Eval Results (legacy)
Instructions to use parlange/deit-gravit-c2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use parlange/deit-gravit-c2 with timm:
import timm model = timm.create_model("hf-hub:parlange/deit-gravit-c2", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from parlange/deit-gravit-c2: direct link, hf CLI and curl.
- Browser
- Download file 343 MB
-
https://huggingface.co/parlange/deit-gravit-c2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://parlange/deit-gravit-c2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/parlange/deit-gravit-c2/resolve/main/pytorch_model.bin
343 MB
- Xet hash:
- 6fb1c671f73f312f728dbb72ecaf8c8c03df1143c09631521e867de4330c60e5
- Size of remote file:
- 343 MB
- SHA256:
- d3ec1b2a971c379028f37c090a3eb26c57970a94860301a894a46e0b96f357ba
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