runtime error

Exit code: 1. Reason: ictionary to their corresponding key in the module instead of copying them in place?) warnings.warn(f'for {key}: copying from a non-meta parameter in the checkpoint to a meta ' Some weights of Florence2ForConditionalGeneration were not initialized from the model checkpoint at jiuhai/florence-phi-vision-tower and are newly initialized: ['language_model.final_logits_bias', 'visual_temporal_embed.pos_idx_to_embed'] You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference. Loading checkpoint shards: 0%| | 0/2 [00:00<?, ?it/s] Loading checkpoint shards: 0%| | 0/2 [00:00<?, ?it/s] Traceback (most recent call last): File "/home/user/app/app.py", line 57, in <module> tokenizer, model, image_processor, context_len = load_pretrained_model(args.model_path, args.model_base, model_name, device_map="cuda:0", **model_kwargs) File "/home/user/app/llava/model/builder.py", line 136, in load_pretrained_model model = LlavaPhiForCausalLM.from_pretrained( File "/usr/local/lib/python3.10/site-packages/transformers/modeling_utils.py", line 3903, in from_pretrained ) = cls._load_pretrained_model( File "/usr/local/lib/python3.10/site-packages/transformers/modeling_utils.py", line 4377, in _load_pretrained_model new_error_msgs, offload_index, state_dict_index = _load_state_dict_into_meta_model( File "/usr/local/lib/python3.10/site-packages/transformers/modeling_utils.py", line 933, in _load_state_dict_into_meta_model set_module_tensor_to_device(model, param_name, param_device, **set_module_kwargs) File "/usr/local/lib/python3.10/site-packages/accelerate/utils/modeling.py", line 416, in set_module_tensor_to_device new_value = value.to(device) File "/usr/local/lib/python3.10/site-packages/torch/cuda/__init__.py", line 314, in _lazy_init torch._C._cuda_init() RuntimeError: Found no NVIDIA driver on your system. Please check that you have an NVIDIA GPU and installed a driver from http://www.nvidia.com/Download/index.aspx

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