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:
- 8f6984a139eb319d99cd29949574c6010b280fc615d486a3cb06e269c96844c8
- Size of remote file:
- 98 MB
- SHA256:
- be8655c193b7f3468c7f071ae54c9a8922c9427be5e0fbe95a3829423dc2b730
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