How to use 1shoomun/semant-cache-updated with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("1shoomun/semant-cache-updated", trust_remote_code=True) sentences = [ "What sector am I most heavily invested in?", "Show me how to switch my stock portfolio to mutual funds\n", "What percentage of my portfolio is in X", "Which sector do I invest most in?" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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