sentence-transformers 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] 
