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README.md
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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>Training data.</b>
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UzBERT model was pretrained on ≈2M news articles (≈3Gb).
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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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$$
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from transformers import pipeline
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unmasker = pipeline('fill-mask', model='coppercitylabs/uzbert-base-uncased')
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unmasker("Алишер Навоий – улуғ ўзбек ва бошқа туркий халқларнинг [MASK], мутафаккири ва давлат арбоби бўлган.")
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$$
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<p><b>Training data.</b>
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UzBERT model was pretrained on ≈2M news articles (≈3Gb).
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