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  language:
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  |Model|Vocabulary Size|
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  |---|---|
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  |XLM-Roberta|250002|
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- |EXLMR|280147|
 
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  language:
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  - ti
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+ Model Card
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+ EXLMR has been designed with specific support for underrepresented languages, particularly those spoken in Ethiopia (such as Amharic, Tigrinya, and Afaan Oromo).Like XLM-RoBERTa, EXLMR can handle multiple languages simultaneously, making it effective for cross-lingual tasks such as machine translation, multilingual text classification, and question answering.EXLMR-base follows the same architecture as RoBERTa-base, with 12 layers, 768 hidden dimensions, and 12 attention heads, totaling approximately 270M parameters.
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  |Model|Vocabulary Size|
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  |---|---|
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  |XLM-Roberta|250002|
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+ |EXLMR|280147|