from transformers import DebertaV2Tokenizer, DebertaV2ForSequenceClassification
import torch

tokenizer = DebertaV2Tokenizer.from_pretrained("Shitanshu06/mcq-deberta-v3-large")
model = DebertaV2ForSequenceClassification.from_pretrained("Shitanshu06/mcq-deberta-v3-large", num_labels=1)

question = "What is dropout?"
option   = "To prevent overfitting"

enc = tokenizer(question, option, return_tensors="pt", truncation=True, max_length=192)
with torch.no_grad():
    score = model(**enc).logits.item()

Live Demo

https://deberta-v3-large.onrender.com