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- feature-extraction
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- sentence-similarity
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- transformers
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---
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# h4g3n/multilingual-MiniLM-L12-de-en-es-fr-it-nl-pl-pt
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This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.
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<!--- Describe your model here -->
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- feature-extraction
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- sentence-similarity
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- transformers
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language:
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- de
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- en
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- es
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- fr
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- it
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- nl
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- pl
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- pt
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---
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# h4g3n/multilingual-MiniLM-L12-de-en-es-fr-it-nl-pl-pt
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The model is derived from [sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2](https://huggingface.co/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2).
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It is a destilled variant with only 4 attention layers, that was tasked to keep the vector space aligned with 7 languages during destillation.
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This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.
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<!--- Describe your model here -->
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