How to use aaa961/bge-base-en-cost-categories-3sets with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("aaa961/bge-base-en-cost-categories-3sets") sentences = [ "\nName : Gastronomia Italia\nCategory: Dining Services, Business Meetings\nDepartment: Sales\nLocation: Milan, Italy\nAmount: 143.27\nCard: EU Client Engagement\nTrip Name: Milan Networking Event\n", "Professional Services", "Travel: Meals & Entertainment", "Advertising & Marketing" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
