Instructions to use LayerFault/tensorflow-execution-op with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use LayerFault/tensorflow-execution-op 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-execution-op") - Notebooks
- Google Colab
- Kaggle
File size: 520 Bytes
12fc797 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | {
"candidate_rules": [],
"corpus_id": "LF-CORPUS-TF-0001",
"description": "SavedModel protobuf bytes containing execution/file-related op markers.",
"expected_rules": [
"LF-TF-EXECUTION-OP"
],
"generator": "extra_formats.tensorflow_execution_op",
"ground_truth": "synthetic-generated",
"must_not_rules": [],
"repo_name": "tensorflow-execution-op",
"repo_type": "model",
"safety": "inert/canary-only",
"schema": 1,
"validation": {
"kind": "inspect",
"target": "saved_model.pb"
}
}
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