runtime error

82] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags. 2023-05-15 15:30:50.547450: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT Traceback (most recent call last): File "app.py", line 20, in <module> model_itm, vis_processors, text_processors = load_model_and_preprocess("blip2_image_text_matching", "pretrain", device=device, is_eval=True) File "/home/user/.local/lib/python3.8/site-packages/lavis/models/__init__.py", line 195, in load_model_and_preprocess model = model_cls.from_pretrained(model_type=model_type) File "/home/user/.local/lib/python3.8/site-packages/lavis/models/base_model.py", line 70, in from_pretrained model = cls.from_config(model_cfg) File "/home/user/.local/lib/python3.8/site-packages/lavis/models/blip2_models/blip2_qformer.py", line 497, in from_config model = cls( File "/home/user/.local/lib/python3.8/site-packages/lavis/models/blip2_models/blip2_image_text_matching.py", line 40, in __init__ super().__init__( File "/home/user/.local/lib/python3.8/site-packages/lavis/models/blip2_models/blip2_qformer.py", line 60, in __init__ self.tokenizer = self.init_tokenizer() File "/home/user/.local/lib/python3.8/site-packages/lavis/models/blip2_models/blip2.py", line 32, in init_tokenizer tokenizer = BertTokenizer.from_pretrained("bert-base-uncased") File "/home/user/.local/lib/python3.8/site-packages/transformers/tokenization_utils_base.py", line 1788, 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 BertTokenizer tokenizer.

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