Instructions to use Asael2899/multi-format-vulnerability-poc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Asael2899/multi-format-vulnerability-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://Asael2899/multi-format-vulnerability-poc") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f41c76f464cdac59566f7de379a6403b582fca008852c685f62bba2715c51cd5
- Size of remote file:
- 95 Bytes
- SHA256:
- 197e12dfd40ccd158e82efb7d002e9e7d31a5111ef3b177c6aa4ff283f59afb5
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