Text Classification
Keras
security
web-attack-detection
sql-injection
xss
command-injection
rasp
cnn
gru
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:
# !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://YangYang-Research/web-attack-detection") - Notebooks
- Google Colab
- Kaggle
File size: 402 Bytes
5c41c5d | 1 2 3 4 5 6 7 8 9 10 | {
"keras_version": "legacy-hdf5",
"date_saved": "2025-03-11",
"format": "model.h5",
"note": "Legacy single-file Keras HDF5 export. Load with keras.saving.load_model after hf_hub_download('model.h5'). Not the Keras 3 Hub layout (config.json + model.weights.h5).",
"repo_id": "YangYang-Research/web-attack-detection",
"encoder": "sentence-transformers/all-MiniLM-L6-v2",
"input_dim": 384
}
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