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Update README.md

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  ---
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- license: apache-2.0
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  tags:
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  - setfit
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  - sentence-transformers
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  - text-classification
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  pipeline_tag: text-classification
 
 
 
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  ---
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  # test_depres
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  # Download from Hub and run inference
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  model = SetFitModel.from_pretrained("test_depres")
 
 
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  # Run inference
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- preds = model(["i loved the spiderman movie!", "pineapple on pizza is the worst 🤮"])
 
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  ```
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  ## BibTeX entry and citation info
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  copyright = {Creative Commons Attribution 4.0 International}
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  }
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  ```
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ license: mit
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  tags:
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  - setfit
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  - sentence-transformers
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  - text-classification
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  pipeline_tag: text-classification
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+ language:
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+ - multilingual
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+ ---
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  ---
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  # test_depres
 
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  # Download from Hub and run inference
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  model = SetFitModel.from_pretrained("test_depres")
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+
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+ dict ={0:"positive", 1:"negative"}
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  # Run inference
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+ preds = model(["What happened to me? I don't know what to do, where to go! Can anyone help me?"])
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+ dict.get(str(list(preds))[1:-1])
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  ```
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  ## BibTeX entry and citation info
 
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  copyright = {Creative Commons Attribution 4.0 International}
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  }
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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={SetFit: Classification of medical texts},
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+ author={Vitaliy Ostashko},
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+ year={2022},
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+ url={https://esemi.org}
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+ }
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+
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+ <!--- Describe where people can find more information -->