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  value: 79.67609346073252
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  task:
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  type: STS
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- Language:
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- - ar
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- - en
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  language:
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  - ar
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  - en
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  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.
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- 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! 💡
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  📊 Metrics from MTEB are promising, but don't just rely on them — test the model yourself and see if it fits your needs! ✅
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  value: 79.67609346073252
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  task:
105
  type: STS
 
 
 
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  language:
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  - ar
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  - en
 
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  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.
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+ 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! 💡
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  📊 Metrics from MTEB are promising, but don't just rely on them — test the model yourself and see if it fits your needs! ✅
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