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 docs/images/swagger_api_docs.png from MegrurNiftiyev/MyGuard-Prompt-Injection-Detector: direct link, hf CLI and curl.
- Browser
- Download file 122 kB
-
https://huggingface.co/MegrurNiftiyev/MyGuard-Prompt-Injection-Detector/resolve/main/docs/images/swagger_api_docs.png
- Command line
-
hf download hf://MegrurNiftiyev/MyGuard-Prompt-Injection-Detector/docs/images/swagger_api_docs.png
-
curl -L -o swagger_api_docs.png https://huggingface.co/MegrurNiftiyev/MyGuard-Prompt-Injection-Detector/resolve/main/docs/images/swagger_api_docs.png
122 kB

- Xet hash:
- 63a11f22c48c3146b4348b91aed3f9319edf0ba141c5ac0c976a5e117c87d54f
- Size of remote file:
- 122 kB
- SHA256:
- 8de625d1ae3a2568205ec3b2f2651f8be7a94e8bb57580a9029678ff6a548dcb
·
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