Instructions to use mwalmsley/baseline-encoder-classification-convnext_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use mwalmsley/baseline-encoder-classification-convnext_base with timm:
import timm model = timm.create_model("hf_hub:mwalmsley/baseline-encoder-classification-convnext_base", pretrained=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 03fd29ce9fc8b5b45af7bf92771bf85aea95990c49e254fe205b3980a11552de
- Size of remote file:
- 350 MB
- SHA256:
- e7a484065f00b6928320b8871ccf264c72e1cdc26396f8ed7642c59dd28beff4
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