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DaneshSelwal
/
Classification-DIAS-65Bands

Keras
English
remote-sensing
hyperspectral
uncertainty-quantification
conformal-prediction
mamba
foundation-models
Model card Files Files and versions
xet
Community

Instructions to use DaneshSelwal/Classification-DIAS-65Bands with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Keras

    How to use DaneshSelwal/Classification-DIAS-65Bands with Keras:

    # !pip install -U keras tensorflow huggingface_hub
    # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here;
    # "jax" and "torch" also work for computation once TensorFlow is installed.
    import os
    os.environ["KERAS_BACKEND"] = "tensorflow"
    
    import keras
    
    model = keras.saving.load_model("hf://DaneshSelwal/Classification-DIAS-65Bands")
    
  • Notebooks
  • Google Colab
  • Kaggle
Classification-DIAS-65Bands / credit /models
599 MB
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  • 1 contributor
History: 3 commits
DaneshSelwal's picture
DaneshSelwal
Upload credit/models/ViT_UNet_CREDIT_best.keras with huggingface_hub
a6be28c verified about 1 month ago
  • AlexNet_CNN_CREDIT_best.keras
    273 MB
    xet
    Upload credit/models/AlexNet_CNN_CREDIT_best.keras with huggingface_hub about 1 month ago
  • GFNet_CREDIT_best.keras
    131 MB
    xet
    Upload credit/models/GFNet_CREDIT_best.keras with huggingface_hub about 1 month ago
  • ViT_UNet_CREDIT_best.keras
    196 MB
    xet
    Upload credit/models/ViT_UNet_CREDIT_best.keras with huggingface_hub about 1 month ago