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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
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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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# 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).
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