# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("hubert233/GPTFuzz")
model = AutoModelForSequenceClassification.from_pretrained("hubert233/GPTFuzz")Quick Links
Official repo of GPTFuzzer. This model is a finetuned Roberta model to classify the toxicity of response, trained on a manually labeled dataset (see in finetuning data)
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hubert233/GPTFuzz")