sentence-transformers How to use magnifi/optimized-semcache-embeds-en-final with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("magnifi/optimized-semcache-embeds-en-final")
sentences = [
"how much will my portfolio return ",
"[{\"get_portfolio(None,True,None)\": \"portfolio\"}, {\"get_expected_attribute('portfolio',['returns'])\": \"portfolio\"}, {\"sort('portfolio','returns','asc')\": \"portfolio\"}]",
"[{\"get_portfolio(None,True,None)\": \"portfolio\"}, {\"get_expected_attribute('portfolio',['returns'])\": \"portfolio\"}, {\"sort('portfolio','returns','desc')\": \"portfolio\"}]",
"[{\"get_news_articles(None,None,['<A_SECTOR>'],'<DATES>')\": \"news_data\"}]"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
