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Chexnet-MedScan-Report-Gen

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@@ -25,8 +25,7 @@ datasets:
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  You can load the model using the Hugging Face Transformers library:
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  ```python
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- from transformers import AutoTokenizer, AutoConfig
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- from modeling import ImageCaptioningModel
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- config = AutoConfig.from_pretrained("khalednabawi11/Chexnet-MedScan-Report-Gen")
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- model = ImageCaptioningModel.from_pretrained("khalednabawi11/Chexnet-MedScan-Report-Gen", config=config)
 
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  You can load the model using the Hugging Face Transformers library:
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  ```python
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+ from transformers import AutoModel, AutoConfig
 
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+ config = AutoConfig.from_pretrained("khalednabawi11/Chexnet-MedScan-Report-Gen", trust_remote_code=True)
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+ model = AutoModel.from_pretrained("khalednabawi11/Chexnet-MedScan-Report-Gen", config=config, trust_remote_code=True)