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:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://Skyflocka/keras-nested-lambda-bypass-poc") - Notebooks
- Google Colab
- Kaggle
Download nested_lambda_exec_scan.json from Skyflocka/keras-nested-lambda-bypass-poc: direct link, hf CLI and curl.
- Browser
- Download file 394 Bytes
-
https://huggingface.co/Skyflocka/keras-nested-lambda-bypass-poc/resolve/main/nested_lambda_exec_scan.json
- Command line
-
hf download hf://Skyflocka/keras-nested-lambda-bypass-poc/nested_lambda_exec_scan.json
-
curl -L -o nested_lambda_exec_scan.json https://huggingface.co/Skyflocka/keras-nested-lambda-bypass-poc/resolve/main/nested_lambda_exec_scan.json
394 Bytes
| {"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": []} |