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
- Xet hash:
- 16608bfd515da7d27e58f869d3e3290462d81adf9c30300b9e848eca1e0cf641
- Size of remote file:
- 5.05 kB
- SHA256:
- 9ffe5f47a0cf1d2e9c60d1794a634d58024ca385985b4c6e4c807228cb2ab036
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