Instructions to use Tecnonix/keras-rwkv-tokenizer-poc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Tecnonix/keras-rwkv-tokenizer-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://Tecnonix/keras-rwkv-tokenizer-poc") - Notebooks
- Google Colab
- Kaggle
keras-rwkv-tokenizer-poc
Security research test artifact. Do not download or load this file.
This repository contains a deliberately malicious .keras file constructed for security research. The file is a proof-of-concept for an arbitrary code execution chain in keras-hub RWKVTokenizer that bypasses Keras's safe_mode=True default protection.
The artifact is hosted publicly to observe ProtectAI scanner response as part of a responsible disclosure submission to huntr.com's Model File Vulnerability program. Disclosure target: keras-team/keras-hub.
If you are a security researcher, scanner operator, or HuggingFace abuse team member: this artifact is intentionally constructed and disclosed. Loading it will execute Python code in your environment.
Researcher: Richard Askew (@ricaskew on GitHub, Tecnonix on HuggingFace).
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