Instructions to use mwalmsley/baseline-encoder-classification-convnextv2_base.fcmae_ft_in22k_in1k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use mwalmsley/baseline-encoder-classification-convnextv2_base.fcmae_ft_in22k_in1k with timm:
import timm model = timm.create_model("hf_hub:mwalmsley/baseline-encoder-classification-convnextv2_base.fcmae_ft_in22k_in1k", pretrained=True) - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
628cfe0 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:c66791602d9840f36a48ea9eace93aee35fc17e3507d4b4ced38109d3d4c82c5
size 350917298
|