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 training_notebook_c2.ipynb from parlange/deit-gravit-c2: direct link, hf CLI and curl.
- Browser
- Download file 25.5 MB
-
https://huggingface.co/parlange/deit-gravit-c2/resolve/main/training_notebook_c2.ipynb
- Command line
-
hf download hf://parlange/deit-gravit-c2/training_notebook_c2.ipynb
-
curl -L -o training_notebook_c2.ipynb https://huggingface.co/parlange/deit-gravit-c2/resolve/main/training_notebook_c2.ipynb
25.5 MB
Rendering notebook...
- Xet hash:
- ef99ac83451f76e1c6e3970217cec5b126d13a67a496b29897f029847ddfd3bc
- Size of remote file:
- 25.5 MB
- SHA256:
- 3840ec461cf0a549c6e39196be842adfbe3b10df2d6dbc623fd1d1a0a8689940
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.