Instructions to use LayerFault/tensorflow-clean-control with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use LayerFault/tensorflow-clean-control 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("LayerFault/tensorflow-clean-control") - Notebooks
- Google Colab
- Kaggle
Publish Layerfault synthetic corpus LF-CORPUS-TF-0003
Browse files- README.md +1 -1
- SHA256SUMS.json +2 -2
README.md
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# tensorflow-clean-control
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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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# tensorflow-clean-control
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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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"path": "saved_model.pb",
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"path": "README.md",
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"sha256": "62bcfee64f21cf6740fac909d312e65e520ca4b49edb32b09d5a82ed58569209",
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"size": 1665
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"path": "saved_model.pb",
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