sentence-transformers 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] 
