kor-nli 및 klue-nli로 학습하였습니다.
test accuracy(KLUE-NLI): 0.889667
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)
- Downloads last month
- 17
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.