sentence-transformers How to use vllm-sr/mmbert-embed-finance with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("vllm-sr/mmbert-embed-finance")
sentences = [
"What might be contained in Item 8 of a financial document?",
"What amount was authorized for future share repurchases by the company as of October 31, 2023?\n\nAnswer: $1.0 billion",
"What information is contained in Item 8 of a financial document?\n\nAnswer: Item 8 contains the Financial Statements and Supplementary Data.",
"What might be contained in Item 8 of a financial document?\n\nAnswer: Financial Statements and Supplementary Data"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
