How to use mehularora/scrabble-embed-v1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("mehularora/scrabble-embed-v1") sentences = [ "UTU", "< HOSIER, person who sells stockings, etc [n]", "act of speaking foolishly [n]", "reward [n]" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
