Text Classification
Keras
social-engineering-detection
phishing-detection
spam-detection
tensorflow
cybersecurity
Instructions to use DhruvSoni/social-engineering-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use DhruvSoni/social-engineering-detector with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://DhruvSoni/social-engineering-detector") - Notebooks
- Google Colab
- Kaggle
Upload metrics.json with huggingface_hub
Browse files- metrics.json +10 -0
metrics.json
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{
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"test_loss": 0.04561175778508186,
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"test_accuracy": 0.9844352602958679,
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"test_auc": 0.9985865354537964,
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"test_precision": 0.985382616519928,
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"test_recall": 0.9811643958091736,
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"training_epochs": 6,
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"total_samples": 50112,
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"vocabulary_size": 20000
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}
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