runtime error

Exit code: 1. Reason: place?) module._load_from_state_dict( /usr/local/lib/python3.13/site-packages/torch/nn/modules/module.py:2589: UserWarning: for heads.head.bias: copying from a non-meta parameter in the checkpoint to a meta parameter in the current model, which is a no-op. (Did you mean to pass `assign=True` to assign items in the state dictionary to their corresponding key in the module instead of copying them in place?) module._load_from_state_dict( Loading weights: 0%| | 0/227 [00:00<?, ?it/s] Loading weights: 100%|██████████| 227/227 [00:00<00:00, 24228.49it/s] Traceback (most recent call last): File "/app/app.py", line 189, in <module> model = ImageCaptioningModel.from_pretrained("cactuarix/image-captioning-vit-transformer") File "/usr/local/lib/python3.13/site-packages/transformers/modeling_utils.py", line 4211, in from_pretrained loading_info = cls._finalize_model_loading(model, load_config, loading_info) File "/usr/local/lib/python3.13/site-packages/transformers/modeling_utils.py", line 4366, in _finalize_model_loading model._move_missing_keys_from_meta_to_device( ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ loading_info.missing_and_mismatched(), ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ...<2 lines>... load_config.hf_quantizer, ^^^^^^^^^^^^^^^^^^^^^^^^^ ) ^ File "/usr/local/lib/python3.13/site-packages/transformers/modeling_utils.py", line 4629, in _move_missing_keys_from_meta_to_device for key in missing_keys - self.all_tied_weights_keys.keys(): ^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.13/site-packages/torch/nn/modules/module.py", line 1968, in __getattr__ raise AttributeError( f"'{type(self).__name__}' object has no attribute '{name}'" ) AttributeError: 'ImageCaptioningModel' object has no attribute 'all_tied_weights_keys'. Did you mean: '_tied_weights_keys'? model.safetensors: 100%|██████████| 384M/384M [00:02<00:00, 191MB/s]

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