Instructions to use mrw0r57/keras-nested-lambda-bypass-poc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use mrw0r57/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://mrw0r57/keras-nested-lambda-bypass-poc") - Notebooks
- Google Colab
- Kaggle
Security research proof of concept (access gated)
This repository hosts a proof-of-concept for a software vulnerability that is under a coordinated disclosure process. It is provided solely for the affected vendor's security triage.
Access to the repository contents is gated and granted to the vendor's security triage bot. The technical details are intentionally withheld from this public page during the disclosure embargo.
If you are a maintainer of the affected project and need access, please request it through the gated-access flow.
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