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
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Download README.md from mrw0r57/keras-nested-lambda-bypass-poc: direct link, hf CLI and curl.
- Browser
- Download file 570 Bytes
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https://huggingface.co/mrw0r57/keras-nested-lambda-bypass-poc/resolve/main/README.md
- Command line
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hf download hf://mrw0r57/keras-nested-lambda-bypass-poc/README.md
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curl -L -H "Authorization: Bearer $HF_TOKEN" -o README.md https://huggingface.co/mrw0r57/keras-nested-lambda-bypass-poc/resolve/main/README.md
570 Bytes
| license: other | |
| # 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. | |