code: def _load_clip(model_name: str, **kwargs):
      backbone, _ = torch.hub.load("openai/CLIP:main", model_name)
      tokenizer = torch.hub.load("openai/CLIP:main", "tokenize")
      tokenizer = partial(tokenizer, truncate=True)
      return (
          _CLIPWrapper(backbone),
          tokenizer,
          backbone.visual.output_dim,
      )
  
file_path: lightning-flash/src/flash/text/classification/backbones/clip.py
imports: from functools import partial
  import torch
  from torch import nn
  from flash.core.registry import FlashRegistry
  from flash.core.utilities.providers import _CLIP
  from flash.core.utilities.url_error import catch_url_error
  from flash.text.classification.adapters import GenericAdapter
label_desc: Use image node_id 1 for calling a global function with example usage: _load_clip(model_name) and returns: _CLIPWrapper,  tokenizer,  backbone