KF-DeBERTa 모델에 대해 klue-sts 및 kor-sts 데이터셋을 학습한 모델입니다.
Average pooling을 기본으로 합니다.
from sentence_transformers import SentenceTransformer
model = SentenceTransformer('deliciouscat/kf-deberta-base-sts')
sentence = ['encoder 모델도 생성형 모델 못지 않게 중요해요.', 'kf-deberta는 금융 도메인에 국한되어 있지 않습니다.']
embedding = model.encode(sentence)
※ 24.02.16. 모델 수정됨: 최초 배포한 모델은 scaling에 치명적인 오류가 있습니다~😅
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