Instructions to use Skyflocka/keras-nested-lambda-bypass-poc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Skyflocka/keras-nested-lambda-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://Skyflocka/keras-nested-lambda-bypass-poc") - Notebooks
- Google Colab
- Kaggle
| {"summary": {"total_issues_by_severity": {"LOW": 0, "MEDIUM": 0, "HIGH": 0, "CRITICAL": 0}, "total_issues": 0, "input_path": "tmp_poc/nested_lambda_exec.keras", "absolute_path": "D:\\repos\\safetensors\\tmp_poc", "modelscan_version": "0.8.8", "timestamp": "2026-03-22T07:01:22.649586", "scanned": {"total_scanned": 1, "scanned_files": ["nested_lambda_exec.keras"]}}, "issues": [], "errors": []} |