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  Pre-prepared model in Uzbek (Cyrillic and latin script) to model the masked language and predict the next sentences.
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  <p><b>How to use.</b>
 
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  You can use this model directly with a pipeline for masked language modeling:
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  from transformers import pipeline
 
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  unmasker = pipeline('fill-mask', model='rifkat/uztext-3Gb-BPE-Roberta')
 
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  unmasker("Алишер Навоий – улуғ ўзбек ва бошқа туркий халқларнинг <mask>, мутафаккири ва давлат арбоби бўлган.")
 
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  [{'score': 0.5902208685874939,
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  'sequence': 'Алишер Навоий – улуғ ўзбек ва бошқа туркий халқларнинг шоири, мутафаккири ва давлат арбоби бўлган.',
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  'token': 28809,
 
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  Pre-prepared model in Uzbek (Cyrillic and latin script) to model the masked language and predict the next sentences.
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  <p><b>How to use.</b>
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+
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  You can use this model directly with a pipeline for masked language modeling:
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  from transformers import pipeline
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+
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  unmasker = pipeline('fill-mask', model='rifkat/uztext-3Gb-BPE-Roberta')
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  unmasker("Алишер Навоий – улуғ ўзбек ва бошқа туркий халқларнинг <mask>, мутафаккири ва давлат арбоби бўлган.")
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  [{'score': 0.5902208685874939,
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  'sequence': 'Алишер Навоий – улуғ ўзбек ва бошқа туркий халқларнинг шоири, мутафаккири ва давлат арбоби бўлган.',
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  'token': 28809,