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Update README.md

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  language: en
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  license: apache-2.0
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  tags:
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- - sagemaker
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- - bart
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- - summarization
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  datasets:
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- - samsum
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  widget:
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- - text: "Jeff: Can I train a \U0001F917 Transformers model on Amazon SageMaker? \n\
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- Philipp: Sure you can use the new Hugging Face Deep Learning Container. \nJeff:\
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- \ ok.\nJeff: and how can I get started? \nJeff: where can I find documentation?\
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- \ \nPhilipp: ok, ok you can find everything here. https://huggingface.co/blog/the-partnership-amazon-sagemaker-and-hugging-face "
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
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  language: en
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  license: apache-2.0
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  tags:
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+ - sagemaker
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+ - bart
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+ - summarization
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  datasets:
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+ - samsum
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  widget:
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+ - text: |
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+ write the below JSON into normal text
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+ {
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+ "Sex": "M",
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+ "ID": 585248,
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+ "DateOfBirth": "08/10/1995",
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+ "Age": "28 years",
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+ "VisitDate": "09/25/2023",
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+ "LogNumber": 6418481,
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+ "Historian": "Self",
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+ "TriageNotes": ["fever"],
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+ "HistoryOfPresentIllness": {
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+ "Complaint": [
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+ "The patient presents with a chief complaint of chills.",
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+ "The problem is made better by exercise and rest.",
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+ "The patient also reports change in appetite and chest pain/pressure as abnormal symptoms related to the complaint."
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+ ]
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+ }
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+ }
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  ---