---
license: apache-2.0
language:
- ti
- am

Model Card 

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.
|Model|Vocabulary Size|
|---|---|
|XLM-Roberta|250002|
|EXLMR|280147|