How to use zazabe/categorizer-mpnet-v2-mnrl with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("zazabe/categorizer-mpnet-v2-mnrl") sentences = [ "Software: SAP Business Connector. Manufacturer: SAP. Focus: Integration platform for connecting SAP systems with non-SAP systems, focusing on B2B integration and data exchange.. Features: Enables data exchange between SAP systems and external applications. Supports various communication protocols. Provides transformation and routing capabilities.. Security: None.", "Other Applications > Other Software > Unclassified Software", "Business Applications > Product Lifecycle Management (PLM) > Product Design", "Business Applications > Enterprise Resource Planning (ERP) > Cross-Industry ERP Suites" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
