sentence-transformers How to use SriRamanaAtmic/AtmicQuoterv1 with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("SriRamanaAtmic/AtmicQuoterv1")
sentences = [
"Represent this sentence for searching relevant passages: In Aksharamanamalai, which verse contains the prayer asking Arunachala to rule over the devotee graciously through his Holy Feet?",
"[Aksharamanamalai] Verse 4: Arunachala! For whose sake dids’t Thou claim me? Thou, who ruled over me happily earlier were to abandon me thereafter with disdain the whole world will heap calumny on Thee.",
"[Aksharamanamalai] Verse 63: Holy Feet and be pleased to rule over me graciously.",
"[Aksharamanamalai] Verse 105: May Thou live for all eternity protecting forever the poor and hapless devotees like me all over, bestowing on all the infinite and rapturous bliss in Siva.",
"[The Legend of King Ballala] In this holy place was the seat of the kingdom of King Ballala... Arunachala came in the form of a Child and played in this King’s lap... the Lord said that as the King had no progeny He would Himself perform his annual ceremonies (sraddha) for all eternity | Topics: arunachala_kshetra"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [5, 5] 
