sentence-transformers How to use vrnP66/my-model-repo with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("vrnP66/my-model-repo")
sentences = [
"यथोवाच भगवान् धन्वन्तरिः ||२||",
"**Ashtanga Hridayam, Uttara Sthana, chapter 22, sutra 106**\n\n**Sutra**:\nपटोल-निम्ब-यष्ट्य्-आह्व-वासा-जात्य्-अरिमेदसाम् । खदिरस्य वरायाश् च पृथग् एवं प्रकल्पना ॥ १०६ ॥\n\n**English Transliteration**:\npaṭola-nimba-yaṣṭy-āhva-vāsā-jāty-arimedasām | khadirasya varāyāś ca pṛthag evaṁ prakalpanā || 106 ||\n\n**English Translation**:\nThus, a separate preparation should be made from patola, nimba, licorice, vasa, jati, arimedasa, khadira, and vara.",
"**Susrut Samhita, Sharira Sthana, chapter 9, sutra 2**\n\n**Sutra**:\nयथोवाच भगवान् धन्वन्तरिः ||२||\n\n**English Transliteration**:\nyathovāca bhagavān dhanvantariḥ ||2||\n\n**English Translation**:\nThus spoke the venerable Dhanvantari.",
"**Susrut Samhita, Chikitsa Sthana, chapter 24, sutra 85**\n\n**Sutra**:\nसुखं वातं प्रसेवेत ग्रीष्मे शरदि मानवः | निवातं ह्यायुषे सेव्यमारोग्याय च सर्वदा ||८५||\n\n**English Transliteration**:\nsukhaṃ vātaṃ praseveta grīṣme śaradi mānavaḥ | nivātaṃ hyāyuṣe sevyamārogyāya ca sarvadā ||85||\n\n**English Translation**:\nA person should enjoy pleasant wind in summer and autumn. Absence of wind is always beneficial for longevity and health."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
