How to use abhi1-341/AML_p1_biencoder with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("abhi1-341/AML_p1_biencoder") sentences = [ "query: business: qudynia | address: 55 mapledale avenue, fl 0, glen burnie, md", "passage: business: qudynia | address: 55 mapledale avenue, glen burnie, md", "passage: business: genna stewart midwest madison | address: w266s3867 donald driev, waukesha, wisconsin", "passage: business: qudynia holdings | address: 64 mapledale avenue, glen burnie, md" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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