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@@ -44,8 +44,6 @@ To load the model from the hub.
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  >>> model = SwinUnetrModelForInference.from_pretrained('darragh/swinunetr-btcv-tiny')
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  ```
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- You can also use `predict.py` to run inference for sample dicom medical images.
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-
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  # Limitations and bias
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  The training data used for this model is specific to CAT scans from certain health facilities and machines. Data from other facilities may difffer in image distributions, and may require finetuning of the models for best performance.
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  >>> model = SwinUnetrModelForInference.from_pretrained('darragh/swinunetr-btcv-tiny')
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  ```
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  # Limitations and bias
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  The training data used for this model is specific to CAT scans from certain health facilities and machines. Data from other facilities may difffer in image distributions, and may require finetuning of the models for best performance.