sentence-transformers How to use Sathvik0101/srag-biencoder-hn with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("Sathvik0101/srag-biencoder-hn")
sentences = [
"My partner has made a serious mistake that has deeply hurt our relationship. I feel immense anger and betrayal, but also a deep love. I'm caught between forgiving them to save the relationship or protecting myself by walking away, and I don't know which choice will bring me peace.",
"hṛṣīkeśaṃ tadā vākyam idam āha mahīpate | senayor ubhayor madhye rathaṃ sthāpaya me 'cyuta ||21|| yāvad etān nirīkṣe 'haṃ yoddhukāmān avasthitān | kair mayā saha yoddhavyam asmin raṇasamudyame ||22|| yotsyamānān avekṣe 'haṃ ya ete 'tra samāgatāḥ | dhārtarāṣṭrasya durbuddher yuddhe priyacikīrṣavaḥ ||23||",
"na caitad vidmaḥ kataran no garīyo yad vā jayema yadi vā no jayeyuḥ | yān eva hatvā na jijīviṣāmas te 'vasthitāḥ pramukhe dhārtarāṣṭrāḥ ||6||",
"suhṛn-mitrāry-udāsīna-madhyastha-dveṣya-bandhuṣu | sādhuṣv api ca pāpeṣu sama-buddhir viśiṣyate ||9||",
"samaḥ śatrau ca mitre ca tathā mānāpamānayoḥ | śītoṣṇa-sukha-duḥkheṣu samaḥ saṅga-vivarjitaḥ ||18|| tulya-nindā-stutir maunī saṃtuṣṭo yena kenacit | aniketaḥ sthira-matir bhaktimān me priyo naraḥ ||19||",
"kārpaṇya-doṣopahata-svabhāvaḥ pṛcchāmi tvāṃ dharma-saṃmūḍha-cetāḥ | yac chreyaḥ syān niścitaṃ brūhi tan me śiṣyas te 'haṃ śādhi māṃ tvāṃ prapannam ||7||",
"aniṣṭam iṣṭaṃ miśraṃ ca trividhaṃ karmaṇaḥ phalam | bhavaty atyāgināṃ pretya na tu saṃnyāsināṃ kvacit ||12||",
"samaḥ śatrau ca mitre ca tathā mānāpamānayoḥ | śītoṣṇa-sukha-duḥkheṣu samaḥ saṅga-vivarjitaḥ ||18|| tulya-nindā-stutir maunī saṃtuṣṭo yena kenacit | aniketaḥ sthira-matir bhaktimān me priyo naraḥ ||19||",
"nirmāna-mohā jita-saṅga-doṣā adhyātma-nityā vinivṛtta-kāmāḥ | dvandvair vimuktāḥ sukha-duḥkha-saṃjñair gacchanty amūḍhāḥ padam avyayaṃ tat ||5||"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [9, 9] 
