[FEATURE] Add model weights from Bamboo

https://github.com/zhangyuanhan-ai/bamboo has released some interesting models, e.g., Bamboo-CLS ResNet-50 and Bamboo-CLS ViT B/16.

The ViT model beats most base ViTs I have seen in challenging datasets such as [Objectnet](https://paperswithcode.com/sota/image-classification-on-objectnet).

Start by reviewing the linked Bamboo repository and the existing model-weight integrations in pytorch-image-models. No source files or tests are named in the issue, so locate the relevant model and pretrained-weight entry points before proceeding. Done means Bamboo-CLS ResNet-50 and Bamboo-CLS ViT B/16 are available as model weights.

Written by the indexing model from the issue text.