sentence-transformers How to use KhaledReda/all-MiniLM-L6-v67-pair_score with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("KhaledReda/all-MiniLM-L6-v67-pair_score")
sentences = [
"bio oil body lotion",
"wooden lemon squeezer natural wood squeezer handmade squeezer new collection wooden lemon squeezer . each piece is unique in color shade and wood grain shape as they re sourced naturally. all pieces are subject to slight differences in sizes due to their natural and handmade nature. material 100 natural wood. size h 16 x w 3.5 cm. how to take care of wood pieces wash with water and soap only then make sure to dry it completely. don t soak in water. not to be used in microwave or dishwasher.",
"paruv 160 beach parasol upf 50 2 places blue green blue umbrella green umbrella protection umbrella beach umbrella wind resistant beach parasol umbrella paruv umbrella designed for protection from the sun on the beach. wind resistant up to 20 km / h. for up to 2 adults. 160 cm diameter beach parasol. can accommodate 2 adults.",
"shedding grooming pet brush wire pins shedding grooming brush this grooming brush features a slicker brush design with fine wire pins that effectively penetrate deep into your pet s coat to remove loose fur and tangles."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
