sentence_transformers import SentenceTransformer texts = [ "deep learning", "artificial intelligence", "deep diving", "artificial snow", ] model = SentenceTransformer("Muennighoff/SGPT-125M-weightedmean-nli-bitfit") embeddings = model.encode(texts) cosine_sim_0_1 = 1 - (embeddings[0], ...
sentence_transformers import SentenceTransformer texts = [ "deep learning", "artificial intelligence", "deep diving", "artificial snow", ] model = SentenceTransformer("Muennighoff/SGPT-125M-weightedmean-nli-bitfit") embeddings = model.encode(texts) cosine_sim_0_1 = 1 - (embeddings[0], ...