code: def vit_large_patch32_224(pretrained=True, **kwargs):
      """
      ViT-Large (ViT-L/32) from original paper (https://arxiv.org/abs/2010.11929)
      No pretrained weights."""
      from avalanche.models.timm_vit import _create_vision_transformer
  
      model_kwargs = dict(
          patch_size=32,
          embed_dim=1024,
          depth=24,
          num_heads=16,
          **kwargs,
      )
      model = _create_vision_transformer(
          "vit_large_patch32_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 6 for calling a global function with example usage: vit_large_patch32_224(pretrained) and returns: model