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@@ -51,6 +51,27 @@ More information needed
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  ## Training procedure
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
 
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  ## Training procedure
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+ # use this model
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+ ```python
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+ from transformers import pipeline
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+ from PIL import Image
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+ import requests
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+
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+ # Load the image classification pipeline with a specific model
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+ pipe = pipeline("image-classification", "ozair23/swin-tiny-patch4-window7-224-finetuned-plantdisease")
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+
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+ # Load the image from a URL
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+ url = 'https://huggingface.co/nielsr/convnext-tiny-finetuned-eurostat/resolve/main/forest.png'
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+ image = Image.open(requests.get(url, stream=True).raw)
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+
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+ # Classify the image
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+ results = pipe(image)
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+
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+ # Display the results
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+ print("Predictions:")
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+ for result in results:
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+ print(f"Label: {result['label']}, Score: {result['score']:.4f}")
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+ ```
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  ### Training hyperparameters
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  The following hyperparameters were used during training: