How to use dakini/finetuned-bge-base-en with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("dakini/finetuned-bge-base-en") sentences = [ "\nName : E27\nCategory: Event Management Services, Business Conference Coordination\nDepartment: Sales\nLocation: Berlin, Germany\nAmount: 1225.45\nCard: Sales Innovation Fund\nTrip Name: unknown\n", "\nName : BüroComfort\nCategory: Workspace Solutions, Interior Design Services\nDepartment: Office Administration\nLocation: Zurich, Switzerland\nAmount: 1203.52\nCard: Flexible Working Spaces Remodel\nTrip Name: unknown\n", "\nName : NexusGuard Solutions\nCategory: Data Protection Tools, IT Support Services\nDepartment: Information Security\nLocation: New York, USA\nAmount: 1957.85\nCard: Enterprise Security Revamp\nTrip Name: unknown\n", "\nName : Pacific Union Services\nCategory: Financial Consulting, Subscription Management\nDepartment: Finance\nLocation: Singapore\nAmount: 129.58\nCard: Quarterly Financial Account Review\nTrip Name: unknown\n" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
