runtime error

Exit code: 1. Reason: nly operation. You can interrupt this and resume the migration later on by calling `transformers.utils.move_cache()`. 0it [00:00, ?it/s] 0it [00:00, ?it/s] Loading pipeline components...: 0%| | 0/7 [00:00<?, ?it/s] Loading pipeline components...: 14%|█▍ | 1/7 [00:01<00:07, 1.21s/it]You set `add_prefix_space`. The tokenizer needs to be converted from the slow tokenizers Loading pipeline components...: 57%|█████▋ | 4/7 [00:01<00:01, 2.87it/s] Traceback (most recent call last): File "/home/user/app/app.py", line 12, in <module> pipe = FluxPipeline.from_pretrained( File "/home/user/.pyenv/versions/3.10.15/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn return fn(*args, **kwargs) File "/home/user/.pyenv/versions/3.10.15/lib/python3.10/site-packages/diffusers/pipelines/pipeline_utils.py", line 896, in from_pretrained loaded_sub_model = load_sub_model( File "/home/user/.pyenv/versions/3.10.15/lib/python3.10/site-packages/diffusers/pipelines/pipeline_loading_utils.py", line 704, in load_sub_model loaded_sub_model = load_method(os.path.join(cached_folder, name), **loading_kwargs) File "/home/user/.pyenv/versions/3.10.15/lib/python3.10/site-packages/transformers/tokenization_utils_base.py", line 2213, in from_pretrained return cls._from_pretrained( File "/home/user/.pyenv/versions/3.10.15/lib/python3.10/site-packages/transformers/tokenization_utils_base.py", line 2447, in _from_pretrained tokenizer = cls(*init_inputs, **init_kwargs) File "/home/user/.pyenv/versions/3.10.15/lib/python3.10/site-packages/transformers/models/t5/tokenization_t5_fast.py", line 119, in __init__ super().__init__( File "/home/user/.pyenv/versions/3.10.15/lib/python3.10/site-packages/transformers/tokenization_utils_fast.py", line 107, in __init__ raise ValueError( ValueError: Cannot instantiate this tokenizer from a slow version. If it's based on sentencepiece, make sure you have sentencepiece installed.

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