sentence-transformers How to use Sathvik0101/srag-biencoder-v1 with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("Sathvik0101/srag-biencoder-v1")
sentences = [
"I've achieved a lot in my career, but I still feel a deep sense of emptiness. I thought reaching these milestones would bring lasting satisfaction, but it hasn't. Was it all for nothing? What is my true purpose if external achievements don't fulfill me?",
"abhyāsa-yoga-yuktena cetasā nānya-gāminā | paramaṃ puruṣaṃ divyaṃ yāti pārthānucintayan ||8||",
"abhyāse 'py asamartho 'si mat-karma-paramo bhava | mad-artham api karmāṇi kurvan siddhim avāpsyasi ||10||",
"na kartṛtvaṃ na karmāṇi lokasya sṛjati prabhuḥ | na karma-phala-saṃyogaṃ svabhāvas tu pravartate ||14||"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
