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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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