Image Classification
timm
PyTorch
Safetensors
vision-transformer
mlp-mixer
gravitational-lensing
strong-lensing
astronomy
astrophysics
Eval Results (legacy)
Instructions to use parlange/mlp-mixer-gravit-b1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use parlange/mlp-mixer-gravit-b1 with timm:
import timm model = timm.create_model("hf_hub:parlange/mlp-mixer-gravit-b1", pretrained=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1ee3c91da6c65714c155f5dc2d2ce422c706848e914c8e67da74fd9b3a7a8c45
- Size of remote file:
- 236 MB
- SHA256:
- c208aaa52c8879506c840580f75207ce9fc1bb3858cdb1641677acb1721d8735
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.