How to use SriRamanaAtmic/AtmicQuoterv3 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("SriRamanaAtmic/AtmicQuoterv3") sentences = [ "Represent this sentence for searching relevant passages: moon water reflection analogy Ramana teachings on Self", "The mind is like the moon, deriving its light of consciousness from the Self, which thus resembles the Sun", "Sri Ramanasramam never charged for Bhagavan’s Darshan (seeing him) or for his teachings.", "Verse 14: Even to the distinctionless you, distinctions... appear even as the movements of water are mistaken for the dance of the still moon.", "Verse 8: Like bubbles rising on the surface of the waters of the ocean, all the worlds arise from, stay in and resolve into the Supreme Being." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [5, 5]
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