sentence-transformers How to use KhaledReda/all-MiniLM-L6-v60-pair_score with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("KhaledReda/all-MiniLM-L6-v60-pair_score")
sentences = [
"basalt fibers racket",
"tiny floral set 5 gold plated 24kt gold plated gold tiny floral f07 size 2 1.6 cm code f07 gold plated 24 kt f06 nbsp size 2.5 2 cm code f06 f02 size 0.5 cm code f02",
"starvie raptor evolution 2022 padel racket lv carbon padel racket eva padel racket starvie raptor evolution racket starvie padel racket. very interesting combination of features and materials on the starvie raptor padel racket. we rarely see a round racket with a weight distribution shifted towards its top. with its soft eva rubber the round size and a wider sweet spot than a diamond racket it will definitely be less harsh for your joints and amazing in controlled power. it might be similar to the all-time favorite head zephyr pro but a little lighter better core quality in addition to the spin surface starvie rackets are becoming more noticed in the wpt. also currently and previously owned by players in the national team warning all rackets are delicate by nature and require extreme care whil",
"villa patisserie 3-tier candy bowl store food bowl dishwashersafe bowl foodsafe bowl villa patisserie 3 - tier cande bowl villa patisserie 3 - tier nan bowl glass bowl can be used to store food or candy size 26 cm height x 9 cm material and care glass dishwasher-safe microwave-safe food-safe packaging 1 piece carefully secured in product box"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
