runtime error

Exit code: 1. Reason: tokenizer_config.json: 0%| | 0.00/2.10k [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 2.10k/2.10k [00:00<00:00, 10.9MB/s] tokenizer.model: 0%| | 0.00/493k [00:00<?, ?B/s] tokenizer.model: 100%|██████████| 493k/493k [00:00<00:00, 1.29MB/s] tokenizer.json: 0%| | 0.00/1.80M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 1.80M/1.80M [00:00<00:00, 76.4MB/s] special_tokens_map.json: 0%| | 0.00/414 [00:00<?, ?B/s] special_tokens_map.json: 100%|██████████| 414/414 [00:00<00:00, 2.47MB/s] config.json: 0%| | 0.00/571 [00:00<?, ?B/s] config.json: 100%|██████████| 571/571 [00:00<00:00, 3.36MB/s] Traceback (most recent call last): File "/home/user/app/app.py", line 14, in <module> model = AutoModelForCausalLM.from_pretrained( File "/usr/local/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py", line 600, in from_pretrained return model_class.from_pretrained( File "/usr/local/lib/python3.10/site-packages/transformers/modeling_utils.py", line 317, in _wrapper return func(*args, **kwargs) File "/usr/local/lib/python3.10/site-packages/transformers/modeling_utils.py", line 4792, in from_pretrained raise ValueError( ValueError: Using a `device_map`, `tp_plan`, `torch.device` context manager or setting `torch.set_default_device(device)` requires `accelerate`. You can install it with `pip install accelerate`

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