Instructions to use LayerFault/keras-custom-object with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use LayerFault/keras-custom-object with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://LayerFault/keras-custom-object") - Notebooks
- Google Colab
- Kaggle
Publish Layerfault synthetic corpus LF-CORPUS-KERAS-0001
Browse files- SHA256SUMS.json +1 -1
- model.keras +0 -0
SHA256SUMS.json
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},
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{
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"path": "model.keras",
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"sha256": "
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"size": 359
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{
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"path": "model.keras",
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"sha256": "e12f8fd5666b24032022397402eba0e51bad3b7156354999d6e5c292748d0872",
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"size": 359
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}
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]
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model.keras
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Binary files a/model.keras and b/model.keras differ
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