How to use liamwilbur/sentence-transformer-synonyms with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("liamwilbur/sentence-transformer-synonyms") sentences = [ "Door Chain", "install new FILTER PAN COVER", "replace Burner Baffle", "install new Elbow - Fitting" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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