Update README.md

README.md

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 # SentenceTransformer based on FacebookAI/xlm-roberta-large
 
-This is a Multilingual (Arabic-English) [sentence-transformers](https://www.SBERT.net) model finetuned from [FacebookAI/xlm-roberta-large](https://huggingface.co/FacebookAI/xlm-roberta-large). It maps sentences & paragraphs to a 1024-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
+This is a **Bilingual** (Arabic-English) [sentence-transformers](https://www.SBERT.net) model finetuned from [FacebookAI/xlm-roberta-large](https://huggingface.co/FacebookAI/xlm-roberta-large). It maps sentences & paragraphs to a 1024-dimensional dense vector space and can be used for **semantic textual similarity, semantic search, paraphrase mining, text classification, clustering**, and more.
 
-The model can handle both languages separately pretty well but also interchangeably which opens many possibilities for different flexible applications but also for researchers who want to further develop arabic models :) 
+The model handles both languages separately 🌐, but also interchangeably, which unlocks flexible applications for developers and researchers who want to further build on Arabic models! 💡
 
-The metrics from MTEB are good but don't focus completely on them anyway, test the model first and see if it works for you. 
+📊 Metrics from MTEB are promising, but don't just rely on them — test the model yourself and see if it fits your needs! ✅
+
+## Matryoshka Embeddings 🪆 
+
+This model supports Matryoshka embeddings, allowing you to truncate embeddings into smaller sizes to optimize performance and memory usage, based on your task requirements. Available truncation sizes include: **1024, 768, 512, 256, 128, and 64**
+
+You can select the appropriate embedding size for your use case, ensuring flexibility in resource management.
 
 ## Model Details