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  **Ara-EuroBERT-610M** is a [sentence-transformers](https://www.SBERT.net) model fine-tuned from [EuroBERT/EuroBERT-610m](https://huggingface.co/EuroBERT/EuroBERT-610m) specifically optimized for **Semantic Arabic text embeddings**.
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- This model maps sentences and paragraphs to a **1152-dimensional dense vector space** and **Maximum Sequence Length:** 8,192 tokens.
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  It can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
 
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  **Ara-EuroBERT-610M** is a [sentence-transformers](https://www.SBERT.net) model fine-tuned from [EuroBERT/EuroBERT-610m](https://huggingface.co/EuroBERT/EuroBERT-610m) specifically optimized for **Semantic Arabic text embeddings**.
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+ This model maps sentences and paragraphs to a **1152-dimensional dense vector space** and **Maximum Sequence Length: 8,192 tokens**.
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  It can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.