Text Classification
Keras
English
sql-injection
malicious-sql
sql-injection-detection
malicious-sql-detection
Instructions to use deathsaber93/SafeSQL-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use deathsaber93/SafeSQL-v1 with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://deathsaber93/SafeSQL-v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5df045436878caeef87476ad06fdafe64db13a5290adf0965d5c702965f76680
- Size of remote file:
- 39.4 MB
- SHA256:
- c141aa60a9ceb93631a5b3739ff74e5188a06b58e824f3261dda6bac127f6141
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.