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Update README.md

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@@ -44,10 +44,10 @@ from torchvision.utils import make_grid
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  # Device and paths:
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  device = 'cuda'
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- physionet_dir = '/.../physionet.org/files'
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- dataset_dir = '/.../datasets'
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- database_path = '/.../database/cxrmate_ed.db'
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- mimic_cxr_jpg_dir = '/.../physionet.org/files/mimic-cxr-jpg/2.0.0/files'
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  # Download model checkpoint:
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  model = transformers.AutoModel.from_pretrained('aehrc/cxrmate-ed', trust_remote_code=True).to(device=device)
 
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  # Device and paths:
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  device = 'cuda'
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+ physionet_dir = '/.../physionet.org/files' # Where MIMIC-CXR, MIMIC-CXR-JPG, and MIMIC-IV-ED are stored.
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+ dataset_dir = '/.../datasets' # Some outputs of prepare_data() will be stored here, e.g, the report sections.
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+ database_path = '/.../database/cxrmate_ed.db' # The DuckDB database used to manage the tables of the dataset will be saved here.
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+ mimic_cxr_jpg_dir = '/.../physionet.org/files/mimic-cxr-jpg/2.0.0/files' # The path to the JPG images of MIMIC-CXR-JPG. This could be different to physionet_dir to leverage faster storage.
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  # Download model checkpoint:
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  model = transformers.AutoModel.from_pretrained('aehrc/cxrmate-ed', trust_remote_code=True).to(device=device)