runtime error

. making attention of type 'vanilla-xformers' with 512 in_channels building MemoryEfficientAttnBlock with 512 in_channels... Working with z of shape (1, 4, 32, 32) = 4096 dimensions. making attention of type 'vanilla-xformers' with 512 in_channels building MemoryEfficientAttnBlock with 512 in_channels... Traceback (most recent call last): File "/home/user/app/app.py", line 40, in <module> model = Model() File "/home/user/app/model.py", line 56, in __init__ self.model = create_model(model_config_path).to(self.device) File "/home/user/app/ControlNet/cldm/model.py", line 26, in create_model model = instantiate_from_config(config.model).cpu() File "/home/user/app/ControlNet/ldm/util.py", line 79, in instantiate_from_config return get_obj_from_str(config["target"])(**config.get("params", dict())) File "/home/user/app/ControlNet/cldm/cldm.py", line 310, in __init__ super().__init__(*args, **kwargs) File "/home/user/app/ControlNet/ldm/models/diffusion/ddpm.py", line 565, in __init__ self.instantiate_cond_stage(cond_stage_config) File "/home/user/app/ControlNet/ldm/models/diffusion/ddpm.py", line 632, in instantiate_cond_stage model = instantiate_from_config(config) File "/home/user/app/ControlNet/ldm/util.py", line 79, in instantiate_from_config return get_obj_from_str(config["target"])(**config.get("params", dict())) File "/home/user/app/ControlNet/ldm/modules/encoders/modules.py", line 99, in __init__ self.tokenizer = CLIPTokenizer.from_pretrained(version) File "/home/user/.pyenv/versions/3.10.9/lib/python3.10/site-packages/transformers/tokenization_utils_base.py", line 1788, in from_pretrained raise EnvironmentError( OSError: Can't load tokenizer for 'openai/clip-vit-large-patch14'. If you were trying to load it from 'https://huggingface.co/models', make sure you don't have a local directory with the same name. Otherwise, make sure 'openai/clip-vit-large-patch14' is the correct path to a directory containing all relevant files for a CLIPTokenizer tokenizer.

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