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Omartificial-Intelligence-Space
Omartificial-Intelligence-Space/Arabic-MiniLM-L12-v2-all-nli-triplet
Arabic-MiniLM-L12-v2-all-nli-triplet is a feature extraction model from Omartificial-Intelligence-Space. Use it when you need embeddings to search or compare text. It is set up for sentence-transformers. The card lists the license as apache-2.0.
This is a sentence-transformers model finetuned from sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2 on the Omartificial-Intelligence-Space/arabic-nli-triplet dataset. It maps sentences & paragraphs to a 3…
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From the Hugging Face model README
This is a sentence-transformers model finetuned from sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2 on the Omartificial-Intelligence-Space/arabic-n_li-triplet dataset. It maps sentences & paragraphs to a 384-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more. This model is part of the Arabic Matryoshka Embedding Models collection. It was presented in the paper GATE: General Arabic Text Embedding for Enhanced Semantic Textual Similarity with Matryoshka Representation Learning and Hybrid Loss Training.