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@@ -15,13 +15,13 @@ pipeline_tag: sentence-similarity
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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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  ## Model Details
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  ### Model Description
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  - **Model Type:** Sentence Transformer
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- - **Base model:** [lemon-mint/LaBSE-EnKo-Nano-Preview-v0.2](https://huggingface.co/lemon-mint/LaBSE-EnKo-Nano-Preview-v0.2) <!-- at revision 67d7cf709de4a0fdcc4199747570aedeff7c790c -->
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  - **Maximum Sequence Length:** 512 tokens
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  - **Output Dimensionality:** 768 tokens
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  - **Similarity Function:** Cosine Similarity
 
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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 [sentence-transformers/LaBSE](https://huggingface.co/sentence-transformers/LaBSE). 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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  ## Model Details
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  ### Model Description
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  - **Model Type:** Sentence Transformer
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+ - **Base model:** [sentence-transformers/LaBSE](https://huggingface.co/sentence-transformers/LaBSE)
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  - **Maximum Sequence Length:** 512 tokens
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  - **Output Dimensionality:** 768 tokens
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  - **Similarity Function:** Cosine Similarity