| from transformers import pipeline | |
| from models.base import BaseModel | |
| class ZeroShotModel(BaseModel): | |
| def __init__(self): | |
| self.classifier = pipeline("zero-shot-classification", model="facebook/bart-large-mnli") | |
| def predict(self, text: str) -> list[tuple[str, float]]: | |
| labels = ["toxique", "non-toxique"] | |
| result = self.classifier(text, candidate_labels=labels) | |
| return list(zip(result["labels"], result["scores"])) |