sentence-transformers How to use KhaledReda/all-MiniLM-L6-v48-pair_score with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("KhaledReda/all-MiniLM-L6-v48-pair_score")
sentences = [
"firstvoc crem f fall hr",
"sandal praia sandals copacabana sandals strappy sandals gladiator sandals faux gold sandals women nine crimes sandals praia 38 gladiator style strappy faux leather brown praia de copacabana beach is a golden sand hotspot outside rio de janeiro. it is a 2.2-mile beach lined with action be it food stalls beach bars or hotels - and a constantly busy promenade. strappy gladiator sandals. faux leather.",
"home scent event portable aroma fragrance oil bottle portable diffuser fragrance oil aroma oils event aroma 10 ml fragrance oil bottle suitable to use with the portable diffuser.",
"stomach medicine digest eze 20/cap 2ex.new stomach cap"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
