Text Classification
Transformers
TensorBoard
Safetensors
English
deberta-v2
Trained with AutoTrain
security
ai-security
jailbreak-detection
ai-safety
llm-security
prompt-injection
mdeberta
binary-classification
content-filtering
model-security
chatbot-security
prompt-engineering
Eval Results (legacy)
text-embeddings-inference
Instructions to use madhurjindal/Jailbreak-Detector-Large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use madhurjindal/Jailbreak-Detector-Large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="madhurjindal/Jailbreak-Detector-Large")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("madhurjindal/Jailbreak-Detector-Large") model = AutoModelForSequenceClassification.from_pretrained("madhurjindal/Jailbreak-Detector-Large") - Notebooks
- Google Colab
- Kaggle
LICENSING
#1
by LandoMorale - opened
I came across your Jailbreak-Detector-Large model and was interested in using it for a project. However, I couldn’t find explicit licensing details for the model. Could you please confirm if Jailbreak-Detector-Large is licensed under the MIT License, similar to your smaller Jailbreak-Detector model?
Hey @LandoMorale , have updated the model card to reflect MIT licensing. Do let me know if you face any issues with the classifier, I am planning on updating it and any feedback in terms of missclassifications, suggested model size would be helpful!
madhurjindal changed discussion status to closed