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README.md
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elmosódás tesz kivehetetlenné.
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- Egy apa és a fia ölelgeti alvás közben.
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model-index:
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- name:
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results:
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type: triplet
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name: Max Accuracy
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#
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This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2](https://huggingface.co/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2) on the train dataset. It maps sentences & paragraphs to a 384-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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elmosódás tesz kivehetetlenné.
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- Egy apa és a fia ölelgeti alvás közben.
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model-index:
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- name: paraphrase-multilingual-MiniLM-L12-v2
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results:
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- task:
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type: triplet
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name: Max Accuracy
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---
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# paraphrase-multilingual-MiniLM-L12-v2
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This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2](https://huggingface.co/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2) on the train dataset. It maps sentences & paragraphs to a 384-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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