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  # German BERT large paraphrase euclidean
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- This is a [sentence-transformers](https://www.SBERT.net) model:
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  It maps sentences & paragraphs (text) into a 1024 dimensional dense vector space.
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  The model is intended to be used together with [SetFit](https://github.com/huggingface/setfit)
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  to improve German few-shot text classification.
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- It has has a sibling model called
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  [deutsche-telekom/gbert-large-paraphrase-cosine](https://huggingface.co/deutsche-telekom/gbert-large-paraphrase-cosine).
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  This model is based on [deepset/gbert-large](https://huggingface.co/deepset/gbert-large).
 
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  ---
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  # German BERT large paraphrase euclidean
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+ This is a [sentence-transformers](https://www.SBERT.net) model.
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  It maps sentences & paragraphs (text) into a 1024 dimensional dense vector space.
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  The model is intended to be used together with [SetFit](https://github.com/huggingface/setfit)
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  to improve German few-shot text classification.
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+ It has a sibling model called
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  [deutsche-telekom/gbert-large-paraphrase-cosine](https://huggingface.co/deutsche-telekom/gbert-large-paraphrase-cosine).
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  This model is based on [deepset/gbert-large](https://huggingface.co/deepset/gbert-large).