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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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  ---
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  # {MODEL_NAME}
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  <!--- Describe your model here -->
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  ## Usage (Sentence-Transformers)
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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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  ## Citing & Authors
 
 
 
 
 
 
 
 
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  <!--- Describe where people can find more information -->
 
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  - feature-extraction
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  - sentence-similarity
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  - transformers
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+ - sbert
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+ - embeddings
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+ - multilingual
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+ - en
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+ - uk
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+ - ru
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+ - vi
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+ license: mit
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+ datasets:
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+ - ParallelSentencesDataset
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  ---
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  # {MODEL_NAME}
 
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  <!--- Describe your model here -->
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+ # uaritm/enukruvie
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+
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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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+
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+ An old version of this model is available here: [uaritm/multilingual_en_ru_uk](https://huggingface.co/uaritm/multilingual_en_ru_uk)
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+
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+ A new model, that adds Vietnamese is available here: [uaritm/enukruvie](https://huggingface.co/uaritm/enukruvie)
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+ <!--- Describe your model here -->
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+
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  ## Usage (Sentence-Transformers)
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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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  ## Citing & Authors
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+ ```
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+ @misc{Uaritm,
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+ title={sentence-transformers: Semantic similarity of medical texts},
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+ author={Vitaliy Ostashko},
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+ year={2023},
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+ url={https://aihealth.site},
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+ }
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+ ```
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  <!--- Describe where people can find more information -->