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mKartux
/
BanNano-model

Keras
fruit
classification
fresh-rotten
efficientnet
grad-cam
tensorflow
Model card Files Files and versions
xet
Community

Instructions to use mKartux/BanNano-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Keras

    How to use mKartux/BanNano-model with Keras:

    # Available backend options are: "jax", "torch", "tensorflow".
    import os
    os.environ["KERAS_BACKEND"] = "jax"
    
    import keras
    
    model = keras.saving.load_model("hf://mKartux/BanNano-model")
    
  • Notebooks
  • Google Colab
  • Kaggle
BanNano-model
131 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
mKartux's picture
mKartux
Update upload_to_hf.py
bbacb70 verified 5 days ago
  • .gitattributes
    1.58 kB
    Upload fruit_classifier.keras with huggingface_hub 6 days ago
  • README.md
    1.63 kB
    Upload README.md with huggingface_hub 6 days ago
  • app.py
    12.5 kB
    Update app.py 5 days ago
  • fruit_classifier.keras
    131 MB
    xet
    Update fruit classifier model 5 days ago
  • main.py
    12.3 kB
    Update main.py 5 days ago
  • requirements.txt
    195 Bytes
    Update requirements.txt 5 days ago
  • upload_to_hf.py
    2.17 kB
    Update upload_to_hf.py 5 days ago