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:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://deathsaber93/SafeSQL-v1") - Notebooks
- Google Colab
- Kaggle
Download benchmark.csv from deathsaber93/SafeSQL-v1: direct link, hf CLI and curl.
- Browser
- Download file 2.28 MB
-
https://huggingface.co/deathsaber93/SafeSQL-v1/resolve/main/benchmark.csv
- Command line
-
hf download hf://deathsaber93/SafeSQL-v1/benchmark.csv
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curl -L -o benchmark.csv https://huggingface.co/deathsaber93/SafeSQL-v1/resolve/main/benchmark.csv
2.28 MB
File too large to display, you can check the raw version instead.