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SBB
/
eynollah-image-extraction

Image-to-Image
TF-Keras
Keras
TensorFlow
pixelwise-segmentation
Model card Files Files and versions
xet
Community

Instructions to use SBB/eynollah-image-extraction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • TF-Keras

    How to use SBB/eynollah-image-extraction with TF-Keras:

    # Note: 'keras<3.x' or 'tf_keras' must be installed (legacy)
    # See https://github.com/keras-team/tf-keras for more details.
    from huggingface_hub import from_pretrained_keras
    
    model = from_pretrained_keras("SBB/eynollah-image-extraction")
    
  • Keras

    How to use SBB/eynollah-image-extraction with Keras:

    # Available backend options are: "jax", "torch", "tensorflow".
    import os
    os.environ["KERAS_BACKEND"] = "jax"
    
    import keras
    
    model = keras.saving.load_model("hf://SBB/eynollah-image-extraction")
    
  • Notebooks
  • Google Colab
  • Kaggle
eynollah-image-extraction / variables
148 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
michalbubula's picture
michalbubula
Upload variables folder
44ef99f verified almost 2 years ago
  • variables.data-00000-of-00001
    148 MB
    xet
    Upload variables folder almost 2 years ago
  • variables.index
    30.5 kB
    Upload variables folder almost 2 years ago