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ml-debi
/
EfficientNetB0-Food101

Image Classification
Keras
google-tensorflow TensorFlow
TensorBoard
TF-Keras
English
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use ml-debi/EfficientNetB0-Food101 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Keras

    How to use ml-debi/EfficientNetB0-Food101 with Keras:

    # Available backend options are: "jax", "torch", "tensorflow".
    import os
    os.environ["KERAS_BACKEND"] = "jax"
    
    import keras
    
    model = keras.saving.load_model("hf://ml-debi/EfficientNetB0-Food101")
    
  • Notebooks
  • Google Colab
  • Kaggle
EfficientNetB0-Food101
76.9 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 13 commits
Wauplin's picture
Wauplin HF Staff
Set `library_name` to `tf-keras`.
a3cb7d9 verified almost 2 years ago
  • training_logs
    Upload 4 files over 2 years ago
  • variables
    Add model over 2 years ago
  • .gitattributes
    1.6 kB
    Add model over 2 years ago
  • README.md
    134 Bytes
    Set `library_name` to `tf-keras`. almost 2 years ago
  • config.json
    4.82 kB
    Create config.json over 2 years ago
  • fingerprint.pb
    57 Bytes
    xet
    Upload 3 files over 2 years ago
  • keras_metadata.pb
    893 kB
    xet
    Upload 3 files over 2 years ago
  • saved_model.pb
    5.2 MB
    xet
    Upload 3 files over 2 years ago
  • tf_model.h5
    17.2 MB
    xet
    Rename model.h5 to tf_model.h5 over 2 years ago