Instructions to use snap-research/efficientformer-l3-300 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use snap-research/efficientformer-l3-300 with timm:
import timm model = timm.create_model("hf_hub:snap-research/efficientformer-l3-300", pretrained=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 11af11f2b396bdac727ff2fbaee7f92298c1c21b723673fdfa956f97322bafd3
- Size of remote file:
- 126 MB
- SHA256:
- 6b5d6c4695c12e0ebf7f158a609ce22f4cc9c05c04c5d2941fb4af3d048ef0a4
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