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README.md
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Kaz-RoBERTa is a transformers model pretrained on a large corpus of Kazakh data in a self-supervised fashion. More precisely, it was pretrained with the Masked language modeling (MLM) objective.
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## Usage
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You can use this model directly with a pipeline for masked language modeling:
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Kaz-RoBERTa is a transformers model pretrained on a large corpus of Kazakh data in a self-supervised fashion. More precisely, it was pretrained with the Masked language modeling (MLM) objective.
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## Training data
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The Kaz-RoBERTa model was pretrained on the reunion of 2 datasets:
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- [MDBKD](https://huggingface.co/datasets/kz-transformers/multidomain-kazakh-dataset) Multi-Domain Bilingual Kazakh Dataset is a Kazakh-language dataset containing just over 24 883 808 unique texts from multiple domains.
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- [Conversational data] Preprocessed dialogs between Customer Support Team and clients of Beeline KZ (Veon Group)(https://beeline.kz/)
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Together these datasets weigh 25GB of text.
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## Usage
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You can use this model directly with a pipeline for masked language modeling:
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