How to use Orzumurod/ModernUzBERT with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Orzumurod/ModernUzBERT") sentences = [ "Yuridik shaxsning taʼsis hujjatlarida qanday maʼlumotlar aks ettirilishi zarur bo'yicha qanday yechim mavjud?", "Mazkur masala bo'yicha asosiy javob: Taʼsischisi, yuridik shaxsning pochta manzili, ustav fondi miqdori va uning shakli, manbalari kiradi. So‘rovnoma beruvchi shu tartibga rioya qilishi lozim.", "UzAuto Motors kompaniyasi 22 dekabr kuni Cobalt, Damas va Labo avtomobillari uchun onlayn kontraksiyalar ochilishini e’lon qilgandi.", "A Seriyadagi ketma-ket mag‘lubiyatsiz o‘yinlari soni 7taga yetgan bo‘lsa, Eldorning mavsumdagi gollari soni 3taga yetdi." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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