How to use MossaabDev/quran_embed_V2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("MossaabDev/quran_embed_V2") sentences = [ "I saw someone killing a cat in the street, I felt helpless and sad", "There is no god ?worthy of worship? except You. Glory be to You! I have certainly done wrong.", "who say, when struck by a disaster, Surely to Allah we belong and to Him we will ?all? return. ", "And never think that Allah is unaware of what the wrongdoers do. He only delays them for a Day when eyes will stare [in horror]" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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