LibreEfficientNetV2 weights
---------------------------

This product contains weights derived from EfficientNetV2, ported in timm
(PyTorch Image Models, https://github.com/huggingface/pytorch-image-models).
Copyright (c) 2019 Ross Wightman.
Licensed under the Apache License, Version 2.0.

Original architecture: EfficientNetV2 by Google
(https://github.com/google/automl/tree/master/efficientnetv2),
"EfficientNetV2: Smaller Models and Faster Training"
(https://arxiv.org/abs/2104.00298), Apache License 2.0.

These weights are the timm `tf_efficientnetv2_b2.in1k` ImageNet-1k checkpoint
(no ImageNet-21k, no JFT, no extra data). State-dict keys were remapped to the
LibreYOLO native module names; learned parameters are unchanged.