@@ -1205,27 +1205,27 @@ def _cfg(url='', **kwargs):
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'tf_efficientnet_b0.in1k' : _cfg (
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url = 'https://github.com/huggingface/pytorch-image-models/releases/download/v0.1-weights/tf_efficientnet_b0-0af12548.pth' ,
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- # hf_hub_id='timm/',
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+ hf_hub_id = 'timm/' ,
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input_size = (3 , 224 , 224 )),
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'tf_efficientnet_b1.in1k' : _cfg (
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url = 'https://github.com/huggingface/pytorch-image-models/releases/download/v0.1-weights/tf_efficientnet_b1-5c1377c4.pth' ,
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- # hf_hub_id='timm/',
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+ hf_hub_id = 'timm/' ,
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input_size = (3 , 240 , 240 ), pool_size = (8 , 8 ), crop_pct = 0.882 ),
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'tf_efficientnet_b2.in1k' : _cfg (
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url = 'https://github.com/huggingface/pytorch-image-models/releases/download/v0.1-weights/tf_efficientnet_b2-e393ef04.pth' ,
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- # hf_hub_id='timm/',
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+ hf_hub_id = 'timm/' ,
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input_size = (3 , 260 , 260 ), pool_size = (9 , 9 ), crop_pct = 0.890 ),
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'tf_efficientnet_b3.in1k' : _cfg (
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url = 'https://github.com/huggingface/pytorch-image-models/releases/download/v0.1-weights/tf_efficientnet_b3-e3bd6955.pth' ,
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- # hf_hub_id='timm/',
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+ hf_hub_id = 'timm/' ,
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input_size = (3 , 300 , 300 ), pool_size = (10 , 10 ), crop_pct = 0.904 ),
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'tf_efficientnet_b4.in1k' : _cfg (
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url = 'https://github.com/huggingface/pytorch-image-models/releases/download/v0.1-weights/tf_efficientnet_b4-74ee3bed.pth' ,
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- # hf_hub_id='timm/',
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+ hf_hub_id = 'timm/' ,
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input_size = (3 , 380 , 380 ), pool_size = (12 , 12 ), crop_pct = 0.922 ),
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'tf_efficientnet_b5.in1k' : _cfg (
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url = 'https://github.com/huggingface/pytorch-image-models/releases/download/v0.1-weights/tf_efficientnet_b5-c6949ce9.pth' ,
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- # hf_hub_id='timm/',
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+ hf_hub_id = 'timm/' ,
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input_size = (3 , 456 , 456 ), pool_size = (15 , 15 ), crop_pct = 0.934 ),
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