code: def __init__(self, pretrained=True, layers=None):
      from timm.models import nfnet
  
      encoder = nfnet.nfnet_f0(
          pretrained=pretrained, features_only=True
      )
      super().__init__(encoder, layers)
  
imports: from .common import GenericTimmEncoder, make_n_channel_input_std_conv
label_desc: Use image node_id 1 to create a new NFNetF0Encoder object from inherited base classes: GenericTimmEncoder with example: obj = NFNetF0Encoder(pretrained, layers)