Update README.md

The EXLMR model is a multilingual transformer that expands the XLM-RoBERTa tokenizer by adding vocabulary for low-resource languages such as Tigrinya and Amharic. It solves issues like out-of-vocabulary words and over-tokenization, enhancing the model's ability to represent languages written in the Ge'ez script. The model can be fine-tuned for various multilingual tasks, including sentiment analysis, question answering, named entity recognition, and paraphrase detection. These improvements make EXLMR highly effective for low-resource languages, while still supporting a broad range of languages with strong overall performance.

README.md

@@ -7,4 +7,4 @@ language:
 |Model|Vocabulary Size|
 |---|---|
 |XLM-Roberta|250002|
-|EXLMR|280147|
+|EXLMR|280147|