coatnet_1_cls(pretrained: bool = False, overrides: object = {})CoAtNet-1 image classifier (Dai et al., 2021).
Backbone + standard CoAtNet head (GAP → LayerNorm → Linear+Tanh → classifier). Approximately 42M parameters, 83.3% ImageNet-1k top-1 at 224x224 (Table 5).
Model Size
Examples
>>> import lucid
>>> from lucid.models.vision.coatnet import coatnet_1_cls
>>> model = coatnet_1_cls()
>>> out = model(lucid.randn(1, 3, 224, 224))
>>> out.logits.shape
(1, 1000)