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
Create config.json
Browse files- config.json +8 -0
config.json
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{
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"model_type": "tensorflow",
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"framework": "tf",
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"task": "text-classification",
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"pipeline_tag": "text-classification",
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"library_name": "transformers",
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"license": "mit"
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}
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