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Update README.md

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@@ -60,7 +60,7 @@ import requests
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  from huggingface_hub import hf_hub_download
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  # Download the model file from Hugging Face
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- model_path = hf_hub_download(repo_id="VisionaryQuant/5_Crop_Disease_Detection", filename="efficientnet_b3_model.pt")
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  # Load the model (make sure your architecture matches)
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  model = torch.load(model_path, map_location=torch.device('cpu'))
 
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  from huggingface_hub import hf_hub_download
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  # Download the model file from Hugging Face
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+ model_path = hf_hub_download(repo_id="VisionaryQuant/5_Crop_Disease_Detection", filename="best_crop_disease_model.pt")
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  # Load the model (make sure your architecture matches)
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  model = torch.load(model_path, map_location=torch.device('cpu'))