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  ---
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- language: []
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  library_name: sentence-transformers
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  tags:
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  - sentence-transformers
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  - sentence-similarity
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  - feature-extraction
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- base_model: lemon-mint/LaBSE-EnKo-Nano-Preview-v0.2
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  datasets: []
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  widget: []
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  pipeline_tag: sentence-similarity
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  ---
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- # SentenceTransformer based on lemon-mint/LaBSE-EnKo-Nano-Preview-v0.2
 
 
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  This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [lemon-mint/LaBSE-EnKo-Nano-Preview-v0.2](https://huggingface.co/lemon-mint/LaBSE-EnKo-Nano-Preview-v0.2). It maps sentences & paragraphs to a 768-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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  ---
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+ language: [ko, en]
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  library_name: sentence-transformers
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  tags:
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  - sentence-transformers
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  - sentence-similarity
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  - feature-extraction
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+ base_model: sentence-transformers/LaBSE
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  datasets: []
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  widget: []
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  pipeline_tag: sentence-similarity
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  ---
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+ # LaBSE-EnKo-Nano-Preview-v0.3
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+
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+ - **This is a preview model, I will release better models in the future, so don't invest too much resources on it.**
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  This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [lemon-mint/LaBSE-EnKo-Nano-Preview-v0.2](https://huggingface.co/lemon-mint/LaBSE-EnKo-Nano-Preview-v0.2). It maps sentences & paragraphs to a 768-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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