Instructions to use pragnyanramtha/keras-native-nonlayer-lambda-modelscan-bypass-poc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use pragnyanramtha/keras-native-nonlayer-lambda-modelscan-bypass-poc with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://pragnyanramtha/keras-native-nonlayer-lambda-modelscan-bypass-poc") - Notebooks
- Google Colab
- Kaggle
keras-native-nonlayer-lambda-modelscan-bypass-poc / variants /ops_map /ops_map_inbound_lambda.modelscan.json
| {"summary": {"total_issues_by_severity": {"LOW": 0, "MEDIUM": 0, "HIGH": 0, "CRITICAL": 0}, "total_issues": 0, "input_path": "/workspace/keras_native/hf_keras_native_nonlayer_lambda_poc/variants/ops_map/ops_map_inbound_lambda.keras", "absolute_path": "/workspace/keras_native/hf_keras_native_nonlayer_lambda_poc/variants/ops_map", "modelscan_version": "0.8.8", "timestamp": "2026-05-12T15:25:16.819075", "scanned": {"total_scanned": 1, "scanned_files": ["ops_map_inbound_lambda.keras"]}, "skipped": {"total_skipped": 3, "skipped_files": [{"category": "SCAN_NOT_SUPPORTED", "description": "Model Scan did not scan file", "source": "ops_map_inbound_lambda.keras:metadata.json"}, {"category": "SCAN_NOT_SUPPORTED", "description": "Model Scan did not scan file", "source": "ops_map_inbound_lambda.keras:config.json"}, {"category": "MODEL_CONFIG", "description": "Model Config not found", "source": "ops_map_inbound_lambda.keras:model.weights.h5"}]}}, "issues": [], "errors": []} |