How to use myfi/semantic-embedding_2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("myfi/semantic-embedding_2") sentences = [ "did I gain any profits over the past 10 days", "Which stocks have a strong potential to see a 10% increase in the next 10 months?", "Did I make any money from trading in the last 10 days", "Which stocks have a strong potential to go up by 10% in the next 10 months?" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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