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  - feature-extraction
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  - sentence-similarity
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  - transformers
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  ---
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  # ciCic/distilbert-base-uncased-sts-matryoshka
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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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  <!--- Describe your model here -->
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  - feature-extraction
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  - sentence-similarity
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  - transformers
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+ language:
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+ - en
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+ datasets:
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+ - stsbenchmark
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+ widget:
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+ - source_sentence: "The cat is watching out of the window"
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+ sentences:
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+ - "That is a happy dog"
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+ - "That is a very funny person"
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+ - "A cat stands by the window and looks outside"
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+ example_title: "Example Cat"
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  ---
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  # ciCic/distilbert-base-uncased-sts-matryoshka
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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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+ Uses [Matryoshka Representation Learning](https://huggingface.co/blog/matryoshka) to train a strong embedding model!
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  <!--- Describe your model here -->
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