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ErnestBeckham
/
MulticancerViT

Image Classification
Keras
TF-Keras
vit
biology
Model card Files Files and versions
xet
Community
1

Instructions to use ErnestBeckham/MulticancerViT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Keras

    How to use ErnestBeckham/MulticancerViT with Keras:

    # Available backend options are: "jax", "torch", "tensorflow".
    import os
    os.environ["KERAS_BACKEND"] = "jax"
    
    import keras
    
    model = keras.saving.load_model("hf://ErnestBeckham/MulticancerViT")
    
  • Notebooks
  • Google Colab
  • Kaggle
MulticancerViT
788 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
Wauplin's picture
Wauplin HF Staff
Set `library_name` to `tf-keras`.
70221a3 verified almost 2 years ago
  • variables
    Push Keras model using huggingface_hub. over 2 years ago
  • .gitattributes
    1.6 kB
    Push Keras model using huggingface_hub. over 2 years ago
  • README.md
    1.25 kB
    Set `library_name` to `tf-keras`. almost 2 years ago
  • cm.png
    123 kB
    uploaded metrics png over 2 years ago
  • config.json
    854 Bytes
    init over 2 years ago
  • keras_metadata.pb
    2.43 MB
    xet
    Push Keras model using huggingface_hub. over 2 years ago
  • model.png
    758 kB
    Push Keras model using huggingface_hub. over 2 years ago
  • saved_model.pb
    3.39 MB
    xet
    Push Keras model using huggingface_hub. over 2 years ago
  • vit_acc.PNG
    23.6 kB
    uploaded metrics png over 2 years ago