How to use ayaat/mpnet-base-all-mqp-binary with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ayaat/mpnet-base-all-mqp-binary") sentences = [ "I am having troubles and confusing moments with my body and I am scared I may be pregnant by my research online and I really want some advice ?", "Does Acyclovir cause ulcers when it is prescribed for genital herpes? ", "The confusing symptoms and online research points towards me being pregnant. Can I get a professional advice?", "Do bariatric surgeries like gastric sleeve or Roux-en-Y surgery actually work in the long term?" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
