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jayclifford345
/
robot_anomaly_detection

Keras
TensorBoard
TF-Keras
anomaly-detection
robot
autoencoder
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use jayclifford345/robot_anomaly_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Keras

    How to use jayclifford345/robot_anomaly_detection with Keras:

    # Available backend options are: "jax", "torch", "tensorflow".
    import os
    os.environ["KERAS_BACKEND"] = "jax"
    
    import keras
    
    model = keras.saving.load_model("hf://jayclifford345/robot_anomaly_detection")
    
  • Notebooks
  • Google Colab
  • Kaggle
robot_anomaly_detection
2.86 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 14 commits
jayclifford345's picture
jayclifford345
Push Keras model using huggingface_hub.
177fe85 over 2 years ago
  • logs
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  • variables
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  • .gitattributes
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    initial commit over 2 years ago
  • README.md
    787 Bytes
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  • config.json
    6.22 kB
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  • fingerprint.pb
    56 Bytes
    xet
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  • keras_metadata.pb
    26.3 kB
    xet
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  • model.png
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  • saved_model.pb
    922 kB
    xet
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