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This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [agentlans/multilingual-e5-small-aligned](https://huggingface.co/agentlans/multilingual-e5-small-aligned). 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.
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## Model Details
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### Model Description
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This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [agentlans/multilingual-e5-small-aligned](https://huggingface.co/agentlans/multilingual-e5-small-aligned). 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.
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- One of the smallest multilingual embedding models on Huggingface
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- Further finetuned on 1,000,000 randomly selected sentence pairs downloaded from Tatoeba 2024-09-26
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- Includes pairs where one or both sentences are non-English
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- For each pair, two negative examples were generated
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## Model Details
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### Model Description
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