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@@ -41,7 +41,7 @@ tokenizer = AutoTokenizer.from_pretrained("cja5553/BJH-perioperative-notes-bioCl
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  model = AutoModel.from_pretrained("cja5553/BJH-perioperative-notes-bioClinicalBERT")
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  ```
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- *Note: Because of our distinct model architecture, you are required to train a distinct predictor or use a respective fully-connected network above the hidden state when deploying the model via the `transformers`*
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  ## Codes
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  Codes used to train the model are publicly available at: https://github.com/cja5553/LLMs_in_perioperative_care
 
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  model = AutoModel.from_pretrained("cja5553/BJH-perioperative-notes-bioClinicalBERT")
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  ```
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+ *Note: Because of our distinct model architecture, you are required to train a distinct predictor or use a respective fully-connected network above the hidden state when deploying the model via `transformers`*
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  ## Codes
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  Codes used to train the model are publicly available at: https://github.com/cja5553/LLMs_in_perioperative_care