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  # FractalGPT/SbertDistil
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  This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.
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  This is a fast and small model for solving the problem of determining the proximity between sentences, in the future we will reduce and speed it up. [Project](https://github.com/FractalGPT/ModelEmbedderDistilation)
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  Using this model becomes easy when you have [sentence-transformers](https://www.SBERT.net) installed:
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  ```
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  pip install -U sentence-transformers
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  ```
 
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  # FractalGPT/SbertDistil
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+
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  This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.
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  This is a fast and small model for solving the problem of determining the proximity between sentences, in the future we will reduce and speed it up. [Project](https://github.com/FractalGPT/ModelEmbedderDistilation)
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  Using this model becomes easy when you have [sentence-transformers](https://www.SBERT.net) installed:
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+ * [Run example in Collab](https://colab.research.google.com/drive/1m3fyh632htPs9UiEu4_AkQfrUtjDqIQq)
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  ```
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  pip install -U sentence-transformers
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  ```