laion/CLIP-ViT-L-14-DataComp.XL-s13B-b90K · Deploying as a Space throws a runtime error

Tried to deploy my own version and got this:
===== Application Startup at 2023-05-05 16:57:46 =====

/home/user/.pyenv/versions/3.8.9/lib/python3.8/site-packages/gradio/interface.py:94: UserWarning: gr.Interface.load() will be deprecated. Use gr.load() instead.
  warnings.warn("gr.Interface.load() will be deprecated. Use gr.load() instead.")
Fetching model from: https://huggingface.co./laion/CLIP-ViT-L-14-DataComp.XL-s13B-b90K
Traceback (most recent call last):
  File "app.py", line 3, in <module>
    gr.Interface.load("models/laion/CLIP-ViT-L-14-DataComp.XL-s13B-b90K").launch()
  File "/home/user/.pyenv/versions/3.8.9/lib/python3.8/site-packages/gradio/interface.py", line 95, in load
    return external.load(
  File "/home/user/.pyenv/versions/3.8.9/lib/python3.8/site-packages/gradio/external.py", line 68, in load
    return load_blocks_from_repo(
  File "/home/user/.pyenv/versions/3.8.9/lib/python3.8/site-packages/gradio/external.py", line 107, in load_blocks_from_repo
    blocks: gradio.Blocks = factory_methods[src](name, api_key, alias, **kwargs)
  File "/home/user/.pyenv/versions/3.8.9/lib/python3.8/site-packages/gradio/external.py", line 383, in from_model
    raise ValueError(f"Unsupported pipeline type: {p}")
ValueError: Unsupported pipeline type: zero-shot-image-classification