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]
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