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README.md
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<p><b>UzRoBerta model.</b>
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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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widget:
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- text: "Is this review positive or negative? Review: Best cast iron skillet you will every buy."
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example_title: "Sentiment analysis"
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- text: "Barack Obama nominated Hilary Clinton as his secretary of state on Monday. He chose her because she had ..."
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example_title: "Coreference resolution"
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---
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language:
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- uz
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tags:
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- transformers
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license: apache-2.0
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widget:
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- text: "Is this review positive or negative? Review: Best cast iron skillet you will every buy."
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example_title: "Latin script"
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- text: "Barack Obama nominated Hilary Clinton as his secretary of state on Monday. He chose her because she had ..."
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example_title: "Cyrillic script"
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---
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<p><b>UzRoBerta model.</b>
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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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