How to use dkqjrm/lora_model with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("dkqjrm/lora_model") sentences = [ "닥터브로너스 [페이셜&바디워시] 닥터브로너스 퓨어 캐스틸 솝 475ml 12종 택1", "露得清卸妆油", "Versace Man Eau Fraiche", "ピュアキャスティールソープ" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
