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MITCriticalData
/
Sentinel-2_Resnet50V2_Autoencoder_RGB_full_Colombia_Dataset

Keras
TF-Keras
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xet
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Instructions to use MITCriticalData/Sentinel-2_Resnet50V2_Autoencoder_RGB_full_Colombia_Dataset with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Keras

    How to use MITCriticalData/Sentinel-2_Resnet50V2_Autoencoder_RGB_full_Colombia_Dataset with Keras:

    # Available backend options are: "jax", "torch", "tensorflow".
    import os
    os.environ["KERAS_BACKEND"] = "jax"
    
    import keras
    
    model = keras.saving.load_model("hf://MITCriticalData/Sentinel-2_Resnet50V2_Autoencoder_RGB_full_Colombia_Dataset")
    
  • Notebooks
  • Google Colab
  • Kaggle
Sentinel-2_Resnet50V2_Autoencoder_RGB_full_Colombia_Dataset
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  • 1 contributor
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dsrestrepo
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