sentence-transformers How to use KhaledReda/all-MiniLM-L6-v52-pair_score with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("KhaledReda/all-MiniLM-L6-v52-pair_score")
sentences = [
"women nightgown",
"wet cat food fancy feast tuna feast grilled purina fancy feast cat grilled tuna fancy feast grilled tuna barbecued tuna fancy feast tuna feast barbecued fancy feast tuna feast meshwe fancy feast tuna feast meshwee fancy feast tuna feast meshwi meshwe tuna meshwee tuna meshwi tuna purina fancy feast grilled tuna",
"cake moist carrot moist",
"polyester nightgown"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
