Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

ml-debi
/
EfficientNetV2S-Food101

Image Classification
TF-Keras
TensorBoard
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use ml-debi/EfficientNetV2S-Food101 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • TF-Keras

    How to use ml-debi/EfficientNetV2S-Food101 with TF-Keras:

    # Note: 'keras<3.x' or 'tf_keras' must be installed (legacy)
    # See https://github.com/keras-team/tf-keras for more details.
    from huggingface_hub import from_pretrained_keras
    
    model = from_pretrained_keras("ml-debi/EfficientNetV2S-Food101")
    
  • Notebooks
  • Google Colab
  • Kaggle
EfficientNetV2S-Food101 / variables
245 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
ml-debi's picture
ml-debi
Add model
a47f6f8 over 2 years ago
  • variables.data-00000-of-00001
    245 MB
    xet
    Add model over 2 years ago
  • variables.index
    92.9 kB
    Add model over 2 years ago