How to use AkshitaS/bhasha-embed-v0 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("AkshitaS/bhasha-embed-v0") sentences = [ "प्रणव ने कानून की पढ़ाई की और ३० की उम्र में राजनीति से जुड़ गए", "प्रणव ने कानून की पढ़ाई की और ३० की उम्र में राजनीति से जुड़ गए", "Pranav studied law and became a politician at the age of 30.", "Pranav ne kanoon ki padhai kari aur 30 ki umar mein rajneeti se jud gaye.", "Pranav ne law ki padhai kari aur 30 ki umar mein politics se jud gaye.", "प्रणव का जन्म राजनीतिज्ञों के परिवार में हुआ था", "Pranav was born in a family of politicians", "Pranav ka janm rajneetigyon ke parivar mein hua tha", "Pranav ka janm politicians ki family mein hua tha" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [9, 9]
