Instructions to use netgoat-ai/koda-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use netgoat-ai/koda-2 with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://netgoat-ai/koda-2") - Notebooks
- Google Colab
- Kaggle
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# Benchmark results
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netgoat-ai/SynthDDoS
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```
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Accuracy: 0.9822
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Precision: 0.9655 (of flagged traffic, how much was real attack?)
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Non-trainable params: 400 (1.56 KB)
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---
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# Benchmark results
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netgoat-ai/SynthDDoS
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```
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Accuracy: 0.9822
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Precision: 0.9655 (of flagged traffic, how much was real attack?)
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