We provide an example tutorial using Quantization Guided Training (QGT) to fine-tune and quantize a pretrained ResNet50 model (ImageNet 1000 classes). The purpose is to show how to use the QGT API using hyperparameters to achieve the best accuracy while reducing bit-precision to reduce model size.

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