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Update README.md

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@@ -52,7 +52,7 @@ You can use this model in your application by loading the TFLite model and runni
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  import tensorflow as tf
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  # Load the TFLite model and allocate tensors
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- interpreter = tf.lite.Interpreter(model_path="path/to/your_model.tflite")
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  interpreter.allocate_tensors()
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  # Get input and output tensors
 
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  import tensorflow as tf
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  # Load the TFLite model and allocate tensors
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+ interpreter = tf.lite.Interpreter(model_path="path/to/PotYOLO_int8.tflite")
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  interpreter.allocate_tensors()
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  # Get input and output tensors