sentence-transformers How to use KhaledReda/all-MiniLM-L6-v64-pair_score with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("KhaledReda/all-MiniLM-L6-v64-pair_score")
sentences = [
"trichup thermal protection",
"eocene serucene hr serum f/all hr 100m eocene serucene",
"zilly bar chair adds an elegant and stylistic flair to home or office interior. a luxurious touch to your home . dimensions 75 cm seat height 42 cm width 42 cm depth . material base metal back fabric.",
"oranges green navel - 2.5 kg per pack green oranges navel oranges"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
