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
Download data/cache/active_model.keras from MegrurNiftiyev/MyGuard-Prompt-Injection-Detector: direct link, hf CLI and curl.
- Browser
- Download file 3.06 MB
-
https://huggingface.co/MegrurNiftiyev/MyGuard-Prompt-Injection-Detector/resolve/main/data/cache/active_model.keras
- Command line
-
hf download hf://MegrurNiftiyev/MyGuard-Prompt-Injection-Detector/data/cache/active_model.keras
-
curl -L -o active_model.keras https://huggingface.co/MegrurNiftiyev/MyGuard-Prompt-Injection-Detector/resolve/main/data/cache/active_model.keras
3.06 MB
- Xet hash:
- e28b511d97fc5a2c3624d28b04f84301a4ce08bcbec9daae4661ef4c47fd7d29
- Size of remote file:
- 3.06 MB
- SHA256:
- 44436a28d33b994fbe09ba13adb975d6d5397d747a780b4b0c14af2a97a223f9
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