How to use blemond/RAG_press_multilingual_e5_large with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("blemond/RAG_press_multilingual_e5_large") sentences = [ "query: ATM Adaptation Layer 2의 약어는 무엇인가요?", "passage: 2 Transmit 2 Receive (기술)", "passage: Alternating Current (개념)", "passage: AAL2 (기술)" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
