How to use roma-tahir/multilingual-e5-islamic-v1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("roma-tahir/multilingual-e5-islamic-v1") sentences = [ "ماذا يكون حال الظالم يوم القيامة؟", "Narrated `Aisha:When the Verses of Surat-al-Baqara regarding usury (i.e. Riba) were revealed, Allah's Messenger (ﷺ) recited them before the people and then he prohibited the trade of alcoholic liquors", "Ibu 'Umar reported Allah's Messenger (ﷺ) as saying:Oppression is the darkness on the Day of Resurrection", "يَا رَسُولَ اللَّهِ أَيْنَ تَنْزِلُ غَدًا وَذَلِكَ فِي حَجَّتِهِ حِينَ دَنَوْنَا مِنْ مَكَّةَ . فَقَالَ \" وَهَلْ تَرَكَ لَنَا عَقِيلٌ مَنْزِلاً \" ." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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