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Update README.md

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  - sentence-similarity
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  - feature-extraction
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  - generated_from_trainer
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- - dataset_size:46453
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  - loss:MultipleNegativesRankingLoss
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  base_model: sentence-transformers/all-mpnet-base-v2
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  datasets: []
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  pipeline_tag: sentence-similarity
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  ---
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- # SentenceTransformer based on sentence-transformers/all-mpnet-base-v2
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- This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [sentence-transformers/all-mpnet-base-v2](https://huggingface.co/sentence-transformers/all-mpnet-base-v2). It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
 
 
 
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  ## Model Details
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  - sentence-similarity
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  - feature-extraction
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  - generated_from_trainer
 
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  - loss:MultipleNegativesRankingLoss
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  base_model: sentence-transformers/all-mpnet-base-v2
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  datasets: []
 
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  pipeline_tag: sentence-similarity
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  ---
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+ # SentenceTransformer (all-mpnet-base-v2) fine-tuned using clinical naatives
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+ This is a [sentence-transformers](https://www.SBERT.net) model finetuned from
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+ [sentence-transformers/all-mpnet-base-v2](https://huggingface.co/sentence-transformers/all-mpnet-base-v2).
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+ It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity,
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+ semantic search, paraphrase mining, text classification, clustering, and more.
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  ## Model Details
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