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try to do the classification with efficnetnet-D0. and found there is two way to do this
model = timm.create_model('tf_efficientnet_b0_ns', pretrained=True, num_classes=num_classes) from efficientnet_pytorch import EfficientNet self.efficientnet = EfficientNet.from_pretrained(args.model_name)
the timm model's speed is much faster. what is the difference between thouse two?
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try to do the classification with efficnetnet-D0.
and found there is two way to do this
the timm model's speed is much faster. what is the difference between thouse two?
The text was updated successfully, but these errors were encountered: