Text Classification
Transformers
TensorBoard
Safetensors
English
distilbert
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 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use madhurjindal/Jailbreak-Detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="madhurjindal/Jailbreak-Detector")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("madhurjindal/Jailbreak-Detector") model = AutoModelForSequenceClassification.from_pretrained("madhurjindal/Jailbreak-Detector", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from madhurjindal/Jailbreak-Detector: direct link, hf CLI and curl.
- Browser
- Download file 5.05 kB
-
https://huggingface.co/madhurjindal/Jailbreak-Detector/resolve/main/training_args.bin
- Command line
-
hf download hf://madhurjindal/Jailbreak-Detector/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/madhurjindal/Jailbreak-Detector/resolve/main/training_args.bin
5.05 kB
- Xet hash:
- febf92c9af568af82e089fd0b90d4caa43ff5c2efc1ed9a372df5b38ae077cfb
- Size of remote file:
- 5.05 kB
- SHA256:
- 2aa7e6d1f68a79e42ba0d97994f590732e28b8cd3504d1c8f97c88c37579ded7
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