How to use ivanleomk/finetuned-bge-base-en with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ivanleomk/finetuned-bge-base-en") sentences = [ "\nName : Casa del Camino\nCategory: Boutique Hotel, Travel Services\nDepartment: Marketing\nLocation: Laguna Beach, CA\nAmount: 842.67\nCard: Team Retreat Planning\nTrip Name: Annual Strategy Offsite\n", "\nName : Gartner & Associates\nCategory: Consulting, Business Services\nDepartment: Legal\nLocation: San Francisco, CA\nAmount: 5000.0\nCard: Legal Consultation Fund\nTrip Name: unknown\n", "\nName : SkillAdvance Academy\nCategory: Online Learning Platform, Professional Development\nDepartment: Engineering\nLocation: Austin, TX\nAmount: 1875.67\nCard: Continuous Improvement Initiative\nTrip Name: unknown\n", "\nName : Innovative Patents Co.\nCategory: Intellectual Property Services, Legal Services\nDepartment: Legal\nLocation: New York, NY\nAmount: 3250.0\nCard: Patent Acquisition Fund\nTrip Name: unknown\n" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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