Image Classification
timm
PyTorch
Safetensors
vision-transformer
deit3
gravitational-lensing
strong-lensing
astronomy
astrophysics
Eval Results (legacy)
Instructions to use parlange/deit3-gravit-a1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use parlange/deit3-gravit-a1 with timm:
import timm model = timm.create_model("hf_hub:parlange/deit3-gravit-a1", pretrained=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 90076910c530a120cd8ec4a3113f462c5ee262421608019a7ffc583fbed4a4ee
- Size of remote file:
- 343 MB
- SHA256:
- 40c54c3c6d7bc946e7b20ade559330bb0c0e87e1a25101c0a457ffd93f6ff9d2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.