How to use s7d11/SEmbedv1-0.3b with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("s7d11/SEmbedv1-0.3b") sentences = [ "11 A fɔra ne ye tun ko: Wajibi don i ka kiraya kɛ ko kura mɔgɔ sifa caman ni siya ni kan ani masakɛ caman ko la.", "Camaw ye yɛlɛmaw jateminɛ farikolo kalan na, ani tabolo sinsin neno waati dɔw la kɔnɔna yɛlɛmali cogo sɔrɔlila ani adadenfarikolo kɔnɔna sumalila.", "a b'a bolow yɛrɛkɛ nankɔ sanfɛ.", "Phnom Krom, kilomɛtiri duuru Siem Reap worodugu ani tileben yanfan fɛ." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
