How to use leewonjun/e5-mul-0910a with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("leewonjun/e5-mul-0910a") sentences = [ "query: 3PL 사용 시의 비용 절감 메커니즘은 어떤 것이 있나요?", "passage: 3 Dimension-Through Silicon Via (Technical)", "passage: Third Party Logistics (상업)", "passage: Authorization Account Answer (Technical)" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
https://huggingface.co/leewonjun/e5-mul-0910a/resolve/main/sentence_bert_config.json
hf download hf://leewonjun/e5-mul-0910a/sentence_bert_config.json
curl -L -o sentence_bert_config.json https://huggingface.co/leewonjun/e5-mul-0910a/resolve/main/sentence_bert_config.json
