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README.md
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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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# {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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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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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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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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## 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 -->
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