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README.md
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@@ -3,10 +3,9 @@ license: mit
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language:
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- en
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library_name: transformers
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pipeline_tag: text-classification
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tags:
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- medical
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base_model:
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---
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# BJH-perioperative-notes-bioClinicalBERT
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This clinical foundational model is intended to predict post-operative surgical outcomes from clinical notes taken during perioperative care.
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from transformers import AutoTokenizer, AutoModel
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tokenizer = AutoTokenizer.from_pretrained("cja5553/BJH-perioperative-notes-bioClinicalBERT")
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model = AutoModel.from_pretrained("cja5553/BJH-perioperative-notes-bioClinicalBERT")
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```
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language:
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- en
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library_name: transformers
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tags:
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- medical
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base_model: emilyalsentzer/Bio_ClinicalBERT
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---
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# BJH-perioperative-notes-bioClinicalBERT
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This clinical foundational model is intended to predict post-operative surgical outcomes from clinical notes taken during perioperative care.
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from transformers import AutoTokenizer, AutoModel
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tokenizer = AutoTokenizer.from_pretrained("cja5553/BJH-perioperative-notes-bioClinicalBERT")
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model = AutoModel.from_pretrained("cja5553/BJH-perioperative-notes-bioClinicalBERT")
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```
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