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README.md
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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:
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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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#
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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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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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- **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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