from transformers import AutoTokenizer, pipeline
from optimum.onnxruntime import ORTModelForSequenceClassification

def init():
    global classifier
    model_id = "."
    
    tokenizer = AutoTokenizer.from_pretrained(model_id)
    model = ORTModelForSequenceClassification.from_pretrained(model_id)
    
    classifier = pipeline("text-classification", model=model, tokenizer=tokenizer)

def __call__(data):
    return classifier(data["inputs"])