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  This is an **Arabic only** [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 is trained using the MatryoshkaLoss for embeddings of size 1024, 786, 512, 128, and 64 for storage optimization (See [Evaluation](#Evaluation)).
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  ## Model Details
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  This is an **Arabic only** [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 is trained using the MatryoshkaLoss for embeddings of size 1024, 786, 512, 128, and 64 for storage optimization (See [Evaluation](https://huggingface.co/omarelshehy/Arabic-STS-Matryoshka#evaluation)).
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  ## Model Details
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