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kf-deberta-base-sts
deliciouscat/kf-deberta-base-sts
kf-deberta-base-sts is a sentence similarity model from deliciouscat. Use it when you need a score for how close two texts are. It is set up for transformers. The card lists the license as mit.
KF-DeBERTa 모델에 대해 klue-sts 및 kor-sts 데이터셋을 학습한 모델입니다. Average pooling을 기본으로 합니다.
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At a glance
- Task
- Sentence Similarity
- Library
- transformers
- License
- mit
- Model type
- deberta-v2
- Access
- Public
- Created
- Jan 28, 2024
- Updated
- Feb 16, 2024
- SHA
- 50562140
Datasets
Model card
From the Hugging Face model README
KF-DeBERTa-base-STS
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~😅
- Task
- Sentence Similarity
- Library
- transformers
- Type
- deberta-v2
- License
- mit
- Languages
- ko
- Created
- Jan 28, 2024
- Updated
- Feb 16, 2024