Instructions to use LayerFault/keras-invalid-archive with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use LayerFault/keras-invalid-archive 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-invalid-archive") - Notebooks
- Google Colab
- Kaggle
Publish Layerfault synthetic corpus LF-CORPUS-KERAS-0003
Browse files- README.md +1 -1
- SHA256SUMS.json +2 -2
README.md
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# keras-invalid-archive
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> **SECURITY TEST ARTIFACT
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This repository is part of the Layerfault synthetic security corpus.
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It is deliberately constructed to contain security-relevant characteristics for scanner testing.
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# keras-invalid-archive
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> **SECURITY TEST ARTIFACT: DO NOT USE AS A PRODUCTION MODEL**
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This repository is part of the Layerfault synthetic security corpus.
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It is deliberately constructed to contain security-relevant characteristics for scanner testing.
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SHA256SUMS.json
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},
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{
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"path": "README.md",
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"sha256": "
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"size":
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},
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{
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"path": "model.keras",
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},
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{
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"path": "README.md",
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"sha256": "ddac3ed0335cbb53a4093fffebcee498c65896f6845b7abe393f3d3b36f62da5",
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"size": 1630
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},
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{
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"path": "model.keras",
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