How to use mehularora/scrabble-embed-v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("mehularora/scrabble-embed-v2") sentences = [ "OMBRELLAS", "'ALPHASORT, to sort into alphabetic order [v]'", "'OMBRELLA, an umbrella [n]'", "'PHYLLID, the leaf of a liverwort or moss [n]'" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
