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  # BEE-spoke-data/bert-plus-L8-v1.0-syntheticSTS-4k
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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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  - Continued-tune of [BEE-spoke-data/bert-plus-L8-v1.0-allNLI_matryoshka](https://hf.co/BEE-spoke-data/bert-plus-L8-v1.0-allNLI_matryoshka)
 
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  # BEE-spoke-data/bert-plus-L8-v1.0-syntheticSTS-4k
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+ <a href="https://colab.research.google.com/gist/pszemraj/492e96baa289ba2f8326369153f3fd34/inference_bert_synthsts.ipynb">
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+ <img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/>
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+ </a>
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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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  - Continued-tune of [BEE-spoke-data/bert-plus-L8-v1.0-allNLI_matryoshka](https://hf.co/BEE-spoke-data/bert-plus-L8-v1.0-allNLI_matryoshka)