How to use taxstreem/numens-finbert with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("taxstreem/numens-finbert") sentences = [ "credit", "credit_from_customer_for_wholesale_pharmaceuticals", "credit_from_customer_for_wholesale_electronics_purchase", "pos_debit_at_the_place_restaurant_(lunch)" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
