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 # Zarra: Arabic Static Embedding Model
 
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 **Zarra** is a static embedding model built using the Model2Vec distillation framework. 
 It is a distilled version of a Sentence Transformer, specifically optimized for the Arabic language.
 Unlike traditional transformer-based models, Zarra produces static embeddings, enabling ultra-fast inference on both CPU and GPU—making it ideal for resource-constrained environments or real-time applications.