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README.md
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- sentence-transformers
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- feature-extraction
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- sentence-similarity
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license: apache-2.0
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datasets:
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- wikimedia/wikipedia
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library_name: transformers
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---
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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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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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```
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```python
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model = SentenceTransformer('FractalGPT/
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def cos(x, y):
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return np.dot(x, y)/(np.linalg.norm(x)*np.linalg.norm(y))
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- sentence-transformers
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- feature-extraction
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- sentence-similarity
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- SbertDistil
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license: apache-2.0
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datasets:
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- wikimedia/wikipedia
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library_name: transformers
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---
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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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```
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```python
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model = SentenceTransformer('FractalGPT/SbertDistil')
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def cos(x, y):
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return np.dot(x, y)/(np.linalg.norm(x)*np.linalg.norm(y))
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