runtime error
Exit code: 1. Reason: 100%|██████████| 190/190 [00:00<00:00, 1.21MB/s] config.json: 0%| | 0.00/1.40k [00:00<?, ?B/s][A config.json: 100%|██████████| 1.40k/1.40k [00:00<00:00, 8.64MB/s] tokenizer_config.json: 0%| | 0.00/2.54k [00:00<?, ?B/s][A tokenizer_config.json: 100%|██████████| 2.54k/2.54k [00:00<00:00, 18.9MB/s] spiece.model: 0%| | 0.00/792k [00:00<?, ?B/s][A spiece.model: 100%|██████████| 792k/792k [00:00<00:00, 3.80MB/s] tokenizer.json: 0%| | 0.00/2.42M [00:00<?, ?B/s][A tokenizer.json: 100%|██████████| 2.42M/2.42M [00:00<00:00, 39.2MB/s] special_tokens_map.json: 0%| | 0.00/2.20k [00:00<?, ?B/s][A special_tokens_map.json: 100%|██████████| 2.20k/2.20k [00:00<00:00, 15.1MB/s] Traceback (most recent call last): File "/app/app.py", line 87, in <module> model = AutoModelForSeq2SeqLM.from_pretrained( "google/flan-t5-small", device_map="cpu", low_cpu_mem_usage=True ) File "/usr/local/lib/python3.13/site-packages/transformers/models/auto/auto_factory.py", line 381, in from_pretrained return model_class.from_pretrained( ~~~~~~~~~~~~~~~~~~~~~~~~~~~^ pretrained_model_name_or_path, *model_args, config=config, **hub_kwargs, **kwargs ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ) ^ File "/usr/local/lib/python3.13/site-packages/transformers/modeling_utils.py", line 3993, in from_pretrained device_map = check_and_set_device_map(device_map) # warn, error and fix the device map File "/usr/local/lib/python3.13/site-packages/transformers/integrations/accelerate.py", line 134, in check_and_set_device_map raise ValueError( ...<2 lines>... ) 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`
Container logs:
Fetching error logs...