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
| """ | |
| Seed script — inserts a base initial model into Firebase Firestore and Storage. | |
| Usage: | |
| python seed_model.py | |
| python -m app.scripts.seed_model | |
| """ | |
| import asyncio | |
| import os | |
| import sys | |
| # Ensure the project root is on sys.path so app.* imports work | |
| BASE_DIR = os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..")) | |
| if BASE_DIR not in sys.path: | |
| sys.path.insert(0, BASE_DIR) | |
| from app.core.firebase import init_firebase, get_firestore_db | |
| from app.ml.serving.registry import DummyModel, save_model_version | |
| async def seed(): | |
| """Insert an initial base model record into Firebase.""" | |
| init_firebase() | |
| db = get_firestore_db() | |
| if db is None: | |
| print("Firebase Firestore not initialized. Ensure FIREBASE_CREDENTIALS_PATH or JSON is set.") | |
| return | |
| # Check if an active model already exists | |
| active_docs = db.collection("models").where("status", "==", "active").limit(1).get() | |
| if active_docs: | |
| doc = active_docs[0].to_dict() | |
| print(f"Active model already exists in Firebase: version={doc.get('version', active_docs[0].id)}") | |
| return | |
| model_obj = DummyModel() | |
| metrics = { | |
| "accuracy": 0.85, | |
| "f1": 0.88, | |
| "note": "Initial base model.", | |
| } | |
| await save_model_version(model_obj, metrics, version="v1.0.0") | |
| # Set status to active directly | |
| db.collection("models").document("v1.0.0").update({"status": "active"}) | |
| print("✓ Initial base model seeded as active in Firebase (version=v1.0.0)") | |
| def main(): | |
| asyncio.run(seed()) | |
| if __name__ == "__main__": | |
| main() | |