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
why not using bert for classfication (codebert or distilBert) ?
#1
by redauzhang - opened
I believe BERT is better suited for this type of content, and a CNN+GRU approach would definitely be better than BERT (in terms of performance, training cost, classification accuracy, etc.). Have you conducted any in-depth testing or research on this?
redauzhang changed discussion status to closed