sentence-transformers 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] 
