How to use dpshade22/e5-base-john-10 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("dpshade22/e5-base-john-10") sentences = [ "Suffer me that I may speak; and after that I have spoken, mock on.", "And Peleg lived after he begat Reu two hundred and nine years, and begat sons and daughters.", "And to offer a sacrifice according to that which is said in the law of the Lord, A pair of turtledoves, or two young pigeons.", "As for me, is my complaint to man? and if it were so, why should not my spirit be troubled?" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
