Text Classification
Keras
English
Azerbaijani
prompt-injection
security
llm-security
document-security
retvec
cnn
tensorflow
fastapi
Eval Results (legacy)
Instructions to use MegrurNiftiyev/MyGuard-Prompt-Injection-Detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use MegrurNiftiyev/MyGuard-Prompt-Injection-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://MegrurNiftiyev/MyGuard-Prompt-Injection-Detector") - Notebooks
- Google Colab
- Kaggle
File size: 268 Bytes
215f97f | 1 2 3 4 5 6 7 8 9 10 | {
"name": "myguard-ai-models",
"version": "1.0.0",
"description": "FastAPI ML Service for MyGuard AI",
"scripts": {
"dev": "venv\\Scripts\\python.exe -m uvicorn app.main:app --reload",
"start": "venv\\Scripts\\python.exe -m uvicorn app.main:app"
}
}
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