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Update paper link.

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@@ -10,7 +10,7 @@ pipeline_tag: sentence-similarity
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  SimCSE-Dist-MPNet-CzEng is the [Seznam/Seznam/dist-mpnet-czeng-cs-en](https://huggingface.co/Seznam/dist-mpnet-czeng-cs-en) model fine-tuned with the [SimCSE](https://arxiv.org/abs/2104.08821) objective.
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- This model was created at Seznam.cz as part of a project to create high-quality small Czech semantic embedding models. These models perform well across various natural language processing tasks, including similarity search, retrieval, clustering, and classification. For further details or evaluation results, please visit the associated [paper]() or [GitHub repository](https://github.com/seznam/czech-semantic-embedding-models).
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  ## How to Use
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  SimCSE-Dist-MPNet-CzEng is the [Seznam/Seznam/dist-mpnet-czeng-cs-en](https://huggingface.co/Seznam/dist-mpnet-czeng-cs-en) model fine-tuned with the [SimCSE](https://arxiv.org/abs/2104.08821) objective.
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+ This model was created at Seznam.cz as part of a project to create high-quality small Czech semantic embedding models. These models perform well across various natural language processing tasks, including similarity search, retrieval, clustering, and classification. For further details or evaluation results, please visit the associated [paper](https://ojs.aaai.org/index.php/AAAI/article/download/30307/32315) or [GitHub repository](https://github.com/seznam/czech-semantic-embedding-models).
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  ## How to Use
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