Keras
security
modelscan
poc
scanner-bypass
model-format-vulnerability
hdf5
h5
torch
deserialization
Instructions to use captainarp/h5-torch-wrapper-modelscan-bypass-poc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use captainarp/h5-torch-wrapper-modelscan-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://captainarp/h5-torch-wrapper-modelscan-bypass-poc") - Notebooks
- Google Colab
- Kaggle