sentence-transformers How to use 1shoomun/pq_cache_9 with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("1shoomun/pq_cache_9", trust_remote_code=True)
sentences = [
"What are the underperforming funds in my portfolio?",
"Switch my stock portfolio with mutual funds",
"List me cheapest funds",
"Which of my funds aren't doing well?"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
