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  language:
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  - de
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  ---
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- # {Overview}
 
 
 
 
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  **Base-Model:** gbert-base
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  **Fine-Tuning:** sentence-transformer
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  * epochs 4
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  * MultiNegativeRankingLoss
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- # {MODEL_NAME}
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-
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- This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
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-
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- <!--- Describe your model here -->
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-
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  ## Usage (Sentence-Transformers)
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  Using this model becomes easy when you have [sentence-transformers](https://www.SBERT.net) installed:
 
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  language:
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  - de
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  ---
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+ # {JoBeer/german-semantic-base}
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+
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+ This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
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  **Base-Model:** gbert-base
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  **Fine-Tuning:** sentence-transformer
 
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  * epochs 4
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  * MultiNegativeRankingLoss
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  ## Usage (Sentence-Transformers)
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  Using this model becomes easy when you have [sentence-transformers](https://www.SBERT.net) installed: