Image Classification
timm
PyTorch
Safetensors
vision-transformer
vit
gravitational-lensing
strong-lensing
astronomy
astrophysics
Eval Results (legacy)
Instructions to use parlange/vit-gravit-s3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use parlange/vit-gravit-s3 with timm:
import timm model = timm.create_model("hf-hub:parlange/vit-gravit-s3", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from parlange/vit-gravit-s3: direct link, hf CLI and curl.
- Browser
- Download file 343 MB
-
https://huggingface.co/parlange/vit-gravit-s3/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://parlange/vit-gravit-s3/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/parlange/vit-gravit-s3/resolve/main/pytorch_model.bin
343 MB
- Xet hash:
- 1184f9bd5d35067ec7428dc8348597ccb6d8cb22b8eaeb4b3a4b504a466bb5f6
- Size of remote file:
- 343 MB
- SHA256:
- c326a4feb520ee290566c4ff5fdc05fabcbccfdde91cca0c9e06bc23da78ef78
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