Best Model for Multi-label image classification
The models will stay the same for the case like ResNets, EfficientNets, NFNets and MobileNet amongst many others. To start with go EffNetB4, good training speed and accuracy. These are great feature extractors what you do with them bring another complexity so in multi-label, look at using label_smoothing for regularization.