sentence-transformers 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] 
