Open-Orca/OpenOrca
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How to use oranne55/qualifier-model3-finetune-pretrained-transformer with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-classification", model="oranne55/qualifier-model3-finetune-pretrained-transformer") # Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("oranne55/qualifier-model3-finetune-pretrained-transformer")
model = AutoModelForSequenceClassification.from_pretrained("oranne55/qualifier-model3-finetune-pretrained-transformer")Classifies prompts as jailbreaks or benign. This is a fine-tune checkpoint of bert-base-uncased on the jailbreak-classification dataset.
Fine-tuned on the jailbreak-classification dataset.
Second fine-tuning hyper-parameters(on train(0.8) and val(0.2))
Fecond fine-tuning hyper-parameters(on train and test)