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README.md
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Purpose: We fine-tuned the BioBERT model on the text part of the IU Chest X-ray dataset. Then this model could be used as an embedding model for text embedding to support our experiment on retrieval-augmented in-context learning.
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Training parameters:
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training_args = TrainingArguments(
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---
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Purpose: We fine-tuned the BioBERT model on the text part of the IU Chest X-ray dataset. Then this model could be used as an embedding model for text embedding to support our experiment on retrieval-augmented in-context learning.
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Usage:
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- tokenizer = AutoTokenizer.from_pretrained("dmis-lab/biobert-v1.1")
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- model = AutoModel.from_pretrained("Learn4everrr/Tuned_bioBERT")
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Training parameters:
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training_args = TrainingArguments(
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