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@@ -22,6 +22,7 @@ from transformers import AutoTokenizer, AutoModel
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  tokenizer = AutoTokenizer.from_pretrained("bvanaken/CORe-clinical-outcome-biobert-v1")
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  model = AutoModel.from_pretrained("bvanaken/CORe-clinical-outcome-biobert-v1")
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  ```
 
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  ### Pre-Training Data
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  tokenizer = AutoTokenizer.from_pretrained("bvanaken/CORe-clinical-outcome-biobert-v1")
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  model = AutoModel.from_pretrained("bvanaken/CORe-clinical-outcome-biobert-v1")
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  ```
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+ From there, you can fine-tune it on clinical tasks that benefit from patient outcome knowledge.
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  ### Pre-Training Data
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