runtime error

f715b0239c66eda33345578/txt2img-f8-large.ckpt LatentDiffusion: Running in eps-prediction mode DiffusionWrapper has 872.30 M params. 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 Traceback (most recent call last): File "/home/user/app/app.py", line 95, in <module> model = load_model_from_config(config,model_path_e) File "/home/user/app/app.py", line 33, in load_model_from_config model = instantiate_from_config(config.model) File "/home/user/app/./latent-diffusion/ldm/util.py", line 78, in instantiate_from_config return get_obj_from_str(config["target"])(**config.get("params", dict())) File "/home/user/app/./latent-diffusion/ldm/models/diffusion/ddpm.py", line 461, in __init__ self.instantiate_cond_stage(cond_stage_config) File "/home/user/app/./latent-diffusion/ldm/models/diffusion/ddpm.py", line 527, in instantiate_cond_stage model = instantiate_from_config(config) File "/home/user/app/./latent-diffusion/ldm/util.py", line 78, in instantiate_from_config return get_obj_from_str(config["target"])(**config.get("params", dict())) File "/home/user/app/./latent-diffusion/ldm/modules/encoders/modules.py", line 83, in __init__ self.tknz_fn = BERTTokenizer(vq_interface=False, max_length=max_seq_len) File "/home/user/app/./latent-diffusion/ldm/modules/encoders/modules.py", line 54, in __init__ self.tokenizer = BertTokenizerFast.from_pretrained("bert-base-uncased") File "/home/user/.pyenv/versions/3.10.13/lib/python3.10/site-packages/transformers/tokenization_utils_base.py", line 2012, in from_pretrained raise EnvironmentError( OSError: Can't load tokenizer for 'bert-base-uncased'. 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 'bert-base-uncased' is the correct path to a directory containing all relevant files for a BertTokenizerFast tokenizer.

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