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:
# !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://MegrurNiftiyev/MyGuard-Prompt-Injection-Detector") - Notebooks
- Google Colab
- Kaggle
Download data/models/model_run-01.keras from MegrurNiftiyev/MyGuard-Prompt-Injection-Detector: direct link, hf CLI and curl.
- Browser
- Download file 3.08 MB
-
https://huggingface.co/MegrurNiftiyev/MyGuard-Prompt-Injection-Detector/resolve/main/data/models/model_run-01.keras
- Command line
-
hf download hf://MegrurNiftiyev/MyGuard-Prompt-Injection-Detector/data/models/model_run-01.keras
-
curl -L -o model_run-01.keras https://huggingface.co/MegrurNiftiyev/MyGuard-Prompt-Injection-Detector/resolve/main/data/models/model_run-01.keras
3.08 MB
- Xet hash:
- b5750eec009fe01bcd9792919009f1b3bc6a9c3547d735128d6a3ea789a981ab
- Size of remote file:
- 3.08 MB
- SHA256:
- 82d548c876782120ac2dae74a147bded3dbe6ab8fc3e4af8c86d023b6f139cca
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