runtime error

�███████| 466k/466k [00:00<00:00, 43.9MB/s] Map: 0%| | 0/9543 [00:00<?, ? examples/s] Map: 10%|█ | 1000/9543 [00:00<00:02, 3949.55 examples/s] Map: 31%|███▏ | 3000/9543 [00:00<00:00, 7856.79 examples/s] Map: 52%|█████▏ | 5000/9543 [00:00<00:00, 9264.79 examples/s] Map: 63%|██████▎ | 6000/9543 [00:00<00:00, 7695.01 examples/s] Map: 84%|████████▍ | 8000/9543 [00:00<00:00, 9117.51 examples/s] Map: 100%|██████████| 9543/9543 [00:01<00:00, 9920.82 examples/s] Map: 100%|██████████| 9543/9543 [00:01<00:00, 8801.05 examples/s] Map: 0%| | 0/2388 [00:00<?, ? examples/s] Map: 84%|████████▍ | 2000/2388 [00:00<00:00, 10840.40 examples/s] Map: 100%|██████████| 2388/2388 [00:00<00:00, 10894.24 examples/s] Some weights of BertForSequenceClassification were not initialized from the model checkpoint at bert-base-uncased and are newly initialized: ['classifier.weight', 'classifier.bias'] You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference. Traceback (most recent call last): File "app.py", line 203, in <module> args = TrainingArguments( File "<string>", line 115, in __init__ File "/home/user/.local/lib/python3.8/site-packages/transformers/training_args.py", line 1436, in __post_init__ and (self.device.type != "cuda") File "/home/user/.local/lib/python3.8/site-packages/transformers/training_args.py", line 1901, in device return self._setup_devices File "/home/user/.local/lib/python3.8/site-packages/transformers/utils/generic.py", line 54, in __get__ cached = self.fget(obj) File "/home/user/.local/lib/python3.8/site-packages/transformers/training_args.py", line 1801, in _setup_devices raise ImportError( ImportError: Using the `Trainer` with `PyTorch` requires `accelerate>=0.20.1`: Please run `pip install transformers[torch]` or `pip install accelerate -U`

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