Instructions to use mwalmsley/baseline-encoder-classification-maxvit_tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use mwalmsley/baseline-encoder-classification-maxvit_tiny with timm:
import timm model = timm.create_model("hf_hub:mwalmsley/baseline-encoder-classification-maxvit_tiny", pretrained=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 43a1cbc7d69d043535754ac8ebc997cd25e00da33790ba3daa284d8a89e9fc65
- Size of remote file:
- 115 MB
- SHA256:
- 12c3b772ffa36d862337dfe953150a0abb486ad29f84ff69a5b0a9103f750dbb
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