How to use perticarari/omniembedding with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("perticarari/omniembedding") sentences = [ "test", "\" it 's a major victory for maine , and it 's a major victory for other states .", "doctors say one or both boys may die , and that some brain damage is possible if they survive .", "doctors said that one or both of the boys may die and that if they survive , some brain damage is possible ." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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