runtime error

Exit code: 1. Reason: InteractDiffusion uses CUDA device. making attention of type 'vanilla' with 512 in_channels Working with z of shape (1, 4, 32, 32) = 4096 dimensions. making attention of type 'vanilla' with 512 in_channels Downloading: "https://github.com/DagnyT/hardnet/raw/master/pretrained/train_liberty_with_aug/checkpoint_liberty_with_aug.pth" to /home/user/.cache/torch/hub/checkpoints/checkpoint_liberty_with_aug.pth 0%| | 0.00/5.10M [00:00<?, ?B/s] 100%|██████████| 5.10M/5.10M [00:00<00:00, 275MB/s] Traceback (most recent call last): File "/home/user/app/app.py", line 54, in <module> loaded_model_list = load_ckpt(config, pretrained_ckpt) File "/home/user/app/interactdiffusion/task_grounded_generation.py", line 65, in load_ckpt text_encoder = instantiate_from_config(config.text_encoder).to(device).eval() File "/home/user/app/interactdiffusion/ldm/util.py", line 78, in instantiate_from_config return get_obj_from_str(config["target"])(**config.get("params", dict())) File "/home/user/app/interactdiffusion/ldm/modules/encoders/modules.py", line 151, in __init__ self.tokenizer = CLIPTokenizer.from_pretrained(version) File "/usr/local/lib/python3.10/site-packages/transformers/tokenization_utils_base.py", line 1768, 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.

Container logs: