Instructions to use YangYang-Research/web-attack-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use YangYang-Research/web-attack-detection with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://YangYang-Research/web-attack-detection") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d89af12558297feed85536e320c7dd0ddccb82b88c5766a12633a019c0893dfd
- Size of remote file:
- 30.6 MB
- SHA256:
- b2df921fc602839eb23d93c34ef6dcbaf850817ef5a8918b7adc14ba47bdbf83
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