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  # Ara-EuroBERT: Arabic Semantic Text Embeddings
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- <img src="https://i.ibb.co/d4svDscP/Clear-Familiar-situations-that-you-already-have-best-practices-for-4.png" width="150" align="left"/>
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  Ara-EuroBERT 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**
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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: Arabic Semantic Text Embeddings
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+ <img src="https://i.ibb.co/d4svDscP/Clear-Familiar-situations-that-you-already-have-best-practices-for-4.png" width="120" align="left"/>
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  Ara-EuroBERT 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**
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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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  <br clear="left"/>