ValueError: CLIPVisionModelWithProjection does not support `device_map='auto'`. To implement support, the model class needs to implement the `_no_split_modules` attribute.

pipe = DiffusionPipeline.from_pretrained(
    "DeepFloyd/IF-I-XL-v1.0",
    text_encoder=text_encoder, # pass the previously instantiated 8bit text encoder
    unet=None,
    device_map="auto"
)

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
[<ipython-input-8-55e2717ce150>](https://localhost:8080/#) in <cell line: 3>()
      1 from diffusers import DiffusionPipeline
      2 
----> 3 pipe = DiffusionPipeline.from_pretrained(
      4     "DeepFloyd/IF-I-XL-v1.0",
      5     text_encoder=text_encoder, # pass the previously instantiated 8bit text encoder

3 frames
[/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py](https://localhost:8080/#) in _get_no_split_modules(self, device_map)
   1688                 if isinstance(module, PreTrainedModel):
   1689                     if module._no_split_modules is None:
-> 1690                         raise ValueError(
   1691                             f"{module.__class__.__name__} does not support `device_map='{device_map}'`. To implement support, the model "
   1692                             "class needs to implement the `_no_split_modules` attribute."

ValueError: CLIPVisionModelWithProjection does not support `device_map='auto'`. To implement support, the model class needs to implement the `_no_split_modules` attribute.