Instructions to use mwalmsley/baseline-encoder-regression-tf_efficientnetv2_s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use mwalmsley/baseline-encoder-regression-tf_efficientnetv2_s with timm:
import timm model = timm.create_model("hf_hub:mwalmsley/baseline-encoder-regression-tf_efficientnetv2_s", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened 9 months ago
by
SFconvertbot