deliciouscat/kf-deberta-base-cross-nli

model_name = 'deliciouscat/kf-deberta-base-cross-nli'
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForSequenceClassification.from_pretrained(model_name, num_labels=3).to(device)

def encode(examples):
    return tokenizer(examples['premise'], examples['hypothesis'], truncation=True, padding='max_length', max_length=128)