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/cache/models/model_ve1582ec6.zip from MegrurNiftiyev/MyGuard-Prompt-Injection-Detector: direct link, hf CLI and curl.
- Browser
- Download file 2.84 MB
-
https://huggingface.co/MegrurNiftiyev/MyGuard-Prompt-Injection-Detector/resolve/main/data/cache/models/model_ve1582ec6.zip
- Command line
-
hf download hf://MegrurNiftiyev/MyGuard-Prompt-Injection-Detector/data/cache/models/model_ve1582ec6.zip
-
curl -L -o model_ve1582ec6.zip https://huggingface.co/MegrurNiftiyev/MyGuard-Prompt-Injection-Detector/resolve/main/data/cache/models/model_ve1582ec6.zip
2.84 MB
- Xet hash:
- bb0595ee35a41bbe0ce8cab6c1b6cdc754fd5ab25f3167f099f5444e789af333
- Size of remote file:
- 2.84 MB
- SHA256:
- 6e6b76ba6113d72e159e368b4e1cc6c2e0e4f32cbbac61291af6e8e1c10575db
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.