Instructions to use okohol/hf-gated-poc-b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use okohol/hf-gated-poc-b with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://okohol/hf-gated-poc-b") - Notebooks
- Google Colab
- Kaggle
Gated security-research artifact
This repository holds a gated proof-of-concept submitted privately through a coordinated vulnerability disclosure program (huntr MFV). Access to the artifact files is granted to the assigned reviewer only.
The vulnerability details, reproduction steps, and impact analysis are provided in the linked private disclosure. Please do not request access here unless you are the assigned reviewer; the technical write-up lives in the disclosure, not in this repository's public surface.
Coordinated disclosure only — no public details are published here.
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