from sentence_transformers import SentenceTransformer

# Download from the 🤗 Hub
model = SentenceTransformer("universalml/Nepali_Embedding_Model")
# Run inference
sentences = [
    'म कसरी बिस्तारै तौल घटाउन सक्छु?',
    'वजन घटाउनको लागि कुनै राम्रो आहार हो?',
    'कस्तो प्रकारको आहार कसैले आहार नचाहने व्यक्तिका लागि उत्तम हुन्छ?',
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 1024]

# Get the similarity scores for the embeddings
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [3, 3]