How to use Bharatdeep-H/pq_cache with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Bharatdeep-H/pq_cache") sentences = [ "How did my portfolio perform during the last 18 days?", "What is the performance of my portfolio over the last 18 days?", "Show me the geographic distribution of my investments\n", "Show me recommendations on improving returns and risk" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
