klue/klue
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How to use deliciouscat/kf-deberta-base-cross-nli with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("zero-shot-classification", model="deliciouscat/kf-deberta-base-cross-nli") # pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("deliciouscat/kf-deberta-base-cross-nli")
model = AutoModelForSequenceClassification.from_pretrained("deliciouscat/kf-deberta-base-cross-nli", device_map="auto")kor-nli ๋ฐ klue-nli๋ก ํ์ตํ์์ต๋๋ค.
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)