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README.md
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---
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model_name:
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tags:
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license: apache-2.0
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library_name: pytorch
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---
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# Wheat Anomaly Detection Model
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with torch.no_grad():
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outputs = model(inputs)
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predicted_class = torch.argmax(outputs.logits, dim=1)
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print(f"Predicted Class: {predicted_class.item()}")
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model_name: Wheat Anomaly Detection Model
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tags:
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- pytorch
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- resnet
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- agriculture
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- anomaly-detection
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license: apache-2.0
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library_name: pytorch
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pipeline_tag: image-classification
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language:
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- en
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---
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# Wheat Anomaly Detection Model
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with torch.no_grad():
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outputs = model(inputs)
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predicted_class = torch.argmax(outputs.logits, dim=1)
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print(f"Predicted Class: {predicted_class.item()}")
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