Image Classification
timm
PyTorch
Safetensors
vit
vision-transformer
transformer
gravitational-lensing
strong-lensing
astronomy
astrophysics
Eval Results (legacy)
Instructions to use parlange/vit-gravit-c3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use parlange/vit-gravit-c3 with timm:
import timm model = timm.create_model("hf-hub:parlange/vit-gravit-c3", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from parlange/vit-gravit-c3: direct link, hf CLI and curl.
- Browser
- Download file 343 MB
-
https://huggingface.co/parlange/vit-gravit-c3/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://parlange/vit-gravit-c3/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/parlange/vit-gravit-c3/resolve/main/pytorch_model.bin
343 MB
- Xet hash:
- 2b5eb5c555efbcd3e8d245e9c707c266d915bf710db126d44bdc611d409eefd9
- Size of remote file:
- 343 MB
- SHA256:
- 806efddf18a41ab576ff9efdf7d8de37585cead2b12c668d9e7185cc61475d74
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.