Image Classification
timm
PyTorch
Safetensors
vision-transformer
deit
gravitational-lensing
strong-lensing
astronomy
astrophysics
Eval Results (legacy)
Instructions to use parlange/deit-gravit-s1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use parlange/deit-gravit-s1 with timm:
import timm model = timm.create_model("hf_hub:parlange/deit-gravit-s1", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from parlange/deit-gravit-s1: direct link, hf CLI and curl.
- Browser
- Download file 343 MB
-
https://huggingface.co/parlange/deit-gravit-s1/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://parlange/deit-gravit-s1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/parlange/deit-gravit-s1/resolve/main/pytorch_model.bin
343 MB
- Xet hash:
- eda979f49f292b6aaf5a90874916973e157b83e7b47889a6a225243d463bff46
- Size of remote file:
- 343 MB
- SHA256:
- 0db33fbf6a09dbdf169194a8c9fa80d9478e55396c2d443a984a691ad2159869
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