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nico9ga
/
fruits-Classification-Model

Image Classification
Keras
TF-Keras
Spanish
ResNet50V2
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use nico9ga/fruits-Classification-Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Keras

    How to use nico9ga/fruits-Classification-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://nico9ga/fruits-Classification-Model")
    
  • Notebooks
  • Google Colab
  • Kaggle
fruits-Classification-Model
286 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 28 commits
nico9ga's picture
nico9ga
Update README.md
d272785 verified about 2 years ago
  • variables
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  • .gitattributes
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  • README.md
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  • config.json
    316 Bytes
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  • fingerprint.pb
    57 Bytes
    xet
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  • fruits_detection.keras
    95.4 MB
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  • main.py
    336 Bytes
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  • prediction.py
    594 Bytes
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  • saved_model.pb
    1.85 MB
    xet
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