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  ---
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- # FractalGPT/SberDistil
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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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  Then you can use the model like this:
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  ```python
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- from sentence_transformers import SentenceTransformer
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- sentences = ["This is an example sentence", "Each sentence is converted"]
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- model = SentenceTransformer('FractalGPT/SberDistil')
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- embeddings = model.encode(sentences)
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- print(embeddings)
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  ```
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+ # FractalGPT/SbertSVDDistil
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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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  Then you can use the model like this:
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  ```python
 
 
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  ```
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