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<img src="https://i.ibb.co/d4svDscP/Clear-Familiar-situations-that-you-already-have-best-practices-for-4.png" width="100" align="left"/>
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Ara-EuroBERT is a [sentence-transformers](https://www.SBERT.net) model fine-tuned from [EuroBERT/EuroBERT-210m](https://huggingface.co/EuroBERT/EuroBERT-210m) specifically optimized for **Semantic Arabic 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="100" align="left"/>
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Ara-EuroBERT is a [sentence-transformers](https://www.SBERT.net) model fine-tuned from [EuroBERT/EuroBERT-210m](https://huggingface.co/EuroBERT/EuroBERT-210m) specifically optimized for **Semantic Arabic text embeddings**.
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This model maps sentences and paragraphs to a **768-dimensional dense vector space** and **Maximum Sequence Length:** 8,192 tokens.
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