How to use redis/unified-negatives with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("redis/unified-negatives") sentences = [ "This positive resistance model is a different way of analyzing feedback oscillator operation.", "This positive resistance model is a different way of analyzing feedback oscillator operation.", "This negative resistance model is an alternate way of analyzing feedback oscillator operation.", "I am BE 8th sem. CSE student. Which path should I choose as a career or which course I should do to get a good job in future within my country?" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
