---
language:
- uz
tags:
- transformers
- mit
- robert
- uzrobert
- uzbek
- cyrillic
- latin
license: apache-2.0
widget:
- text: "Kuchli yomg‘irlar tufayli bir qator <mask> kuchli sel oqishi kuzatildi."
  example_title: "Latin script"
- text: "Алишер Навоий – улуғ ўзбек ва бошқа туркий халқларнинг <mask>, мутафаккири ва давлат арбоби бўлган."
  example_title: "Cyrillic script"
---


<p><b>UzRoBerta model.</b>

Pre-prepared model in Uzbek (Cyrillic and latin script) to model the masked language and predict the next sentences.

<p><b>How to use.</b>
You can use this model directly with a pipeline for masked language modeling:
$$
from transformers import pipeline
unmasker = pipeline('fill-mask', model='coppercitylabs/uzbert-base-uncased')
unmasker("Алишер Навоий – улуғ ўзбек ва бошқа туркий халқларнинг [MASK], мутафаккири ва давлат арбоби бўлган.")
$$

<p><b>Training data.</b>

UzBERT model was pretrained on &asymp;2M news articles (&asymp;3Gb).