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me-aas
/
EinsteinNet

Image Classification
Keras
LiteRT
English
Research
Education
Science and Technology
Artificial Intelligence
Computer Science
Computer Vision
CNN
Image
Keras
TensorFlow
Python
Model card Files Files and versions
xet
Community

Instructions to use me-aas/EinsteinNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Keras

    How to use me-aas/EinsteinNet with Keras:

    # Available backend options are: "jax", "torch", "tensorflow".
    import os
    os.environ["KERAS_BACKEND"] = "jax"
    
    import keras
    
    model = keras.saving.load_model("hf://me-aas/EinsteinNet")
    
  • Notebooks
  • Google Colab
  • Kaggle
EinsteinNet
4.39 MB
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  • 1 contributor
History: 5 commits
me-aas's picture
me-aas
Update README.md
d93a479 verified 4 days ago
  • tflite_models
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  • .gitattributes
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  • EinsteinNet_model_architecture.png
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  • EinsteinNet_orange_metrics.json
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  • README.md
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  • einsteinnet_accuracy_curve.png
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  • einsteinnet_loss_curve.png
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  • einsteinnet_model.h5
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