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# Meitei-RoBERTa-Base (Monolingual, Bengali Script)
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The **Meitei-RoBERTa-Base** model is a high-performance, monolingual transformer encoder pre-trained from scratch on the entire **Meitei Monolingual Corpus** (MWirelabs/meitei-monolingual-corpus). It is developed using the RoBERTa training methodology, establishing a **
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This model serves as a robust backbone for accelerating downstream NLP tasks such as Named Entity Recognition (NER), Sentiment Analysis, and Text Classification in Meitei.
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# Meitei-RoBERTa-Base (Monolingual, Bengali Script)
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The **Meitei-RoBERTa-Base** model is a high-performance, monolingual transformer encoder pre-trained from scratch on the entire **Meitei Monolingual Corpus** (MWirelabs/meitei-monolingual-corpus). It is developed using the RoBERTa training methodology, establishing a **foundational language representation** for Meitei (Manipuri) in Bengali script.
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This model serves as a robust backbone for accelerating downstream NLP tasks such as Named Entity Recognition (NER), Sentiment Analysis, and Text Classification in Meitei.
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