sentence-transformers How to use KhaledReda/all-MiniLM-L6-v59-pair_score with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("KhaledReda/all-MiniLM-L6-v59-pair_score")
sentences = [
"pencils",
"jewelry box glory sparkling accessory holder glory accessory holder women elite home accessories holder multiple compartments classic black master piece accessory holder shape of sparkling dress.",
"make up book vol 1 warm make-up set vol 1 warm make up environmentally friendly make up eyeshadow make up matte make up shimmer make up lipsticks make up glosses make up blush make up highlighter make up introducing the must-have product for every makeup lover - the make up book vol 1 warm this stunning book is not just a makeup palette but a complete makeup kit that will elevate your game to the next level. made with fsc paper this book is not only stylish but also environmentally friendly. inside you will find a wide range of eyeshadows with different finishes from matte to shimmer to create endless eye looks. the lipsticks and glosses will give your lips a pop of color and shine while the blush and highlighter will add a natural glow to your cheeks. and with 2 accessories and a mirror included you have everything you need for a flawless makeup application. with the make up",
"glade sensation refill fruit nectar air freshener glade air freshener experience the vibrant and fruity delight of the fruit nectar scent. let the refreshing aroma of juicy fruits invigorate your space creating a lively and inviting atmosphere."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
