sentence-transformers How to use thelocalhost/fpml-semantic-model with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("thelocalhost/fpml-semantic-model")
sentences = [
"Find the element that handles identifies the underlying asset when it is an exchange-traded fund.",
"[exchangeTradedFund]: Identifies the underlying asset when it is an exchange-traded fund.",
"[mutualFund]: Identifies the class of unit issued by a fund.",
"[lcIssuanceFeePayment]: No description available"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
