How to use abhaya69/temp2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("abhaya69/temp2") sentences = [ "Ford Fiesta Titanium", "Maruit Fronx Turb oZeta", "Edition Dark Red Luxs Plus Nexon Tata", "Titanium Fiesta Ford" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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