jailbreakDetector-v6-onnx
This model is the onnx transformed version of markush1/jailbreakDetector-v6.
Usage
Use with pipeline
from optimum.onnxruntime import ORTModelForSequenceClassification
from transformers import pipeline, AutoTokenizer
model_name = "markush1/jailbreakDetector-v6-onnx"
model = ORTModelForSequenceClassification.from_pretrained(model_name)
tokenizer = AutoTokenizer.from_pretrained(model_name)
classifier = pipeline("text-classification", model=model, tokenizer=tokenizer)
classifier("YOUR_INPUT_GOES_HERE", **{'truncation':True,'max_length':512})
Model description
This version of markush1/jailbreakDetector-v6 is aimed for optimized deployments, especially for execution in environments that lack GPU.
Evaluation on CPU
1.59 s ± 14 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)
AMD Ryzen Threadripper 1920X 12-Core Processor, 64 GB RAM
- Downloads last month
- 3
Finetuned from
Dataset used to train markush1/jailbreakDetector-v6-onnx
Evaluation results
- Jailbreak identification accuracy on LLM Jailbreak Classifiertest set self-reported1.000
- Latency in seconds on LLM Jailbreak Classifiertest set self-reported0.064