code: def vit_large_patch16_224(pretrained=False, **kwargs):
      """
      ViT-Large (ViT-L/16) from original paper
      (https://arxiv.org/abs/2010.11929).
      ImageNet-1k weights fine-tuned from in21k @ 224x224,
      source https://github.com/google-research/vision_transformer.
      """
      from avalanche.models.timm_vit import _create_vision_transformer
  
      model_kwargs = dict(
          patch_size=16,
          embed_dim=1024,
          depth=24,
          num_heads=16,
          **kwargs,
      )
      model = _create_vision_transformer(
          "vit_large_patch16_224", pretrained=pretrained, **model_kwargs
      )
      return model
  
file_path: avalanche/avalanche/models/vit.py
imports: from avalanche.models import SimpleMLP
label_desc: Use image node_id 3 for calling a global function with example usage: vit_large_patch16_224(pretrained) and returns: model