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README.md
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# FractalGPT/
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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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