efficientformer_l7

lucid.models.efficientformer_l7(num_classes: int = 1000, **kwargs) → EfficientFormer

The efficientformer_l7 function constructs the L7 configuration of the EfficientFormer model. It is the largest and most capable variant, designed for high-accuracy applications while remaining efficient enough for deployment on high-end edge devices.

Total Parameters: 81,460,328

Function Signature

@register_model
def efficientformer_l7(num_classes: int = 1000, **kwargs) -> EfficientFormer

Parameters

  • num_classes (int, optional): Number of output classes for classification. Default is 1000.

  • kwargs (dict, optional): Additional keyword arguments to customize the EfficientFormer module.

Returns

  • EfficientFormer: An instance of the EfficientFormer model configured with the L7 settings.

Specifications

  • depths: (6, 6, 18, 8)

  • embed_dims: (96, 192, 384, 768)

  • num_vit: 3

Examples

Creating a Default EfficientFormer-L7 Model

import lucid.models as models

model = models.efficientformer_l7()
print(model)  # Displays the EfficientFormer-L7 architecture

Custom Number of Classes

model = models.efficientformer_l7(num_classes=200)
print(model)