runtime error

Exit code: 1. Reason: coder.layer.4.crossattention.output.LayerNorm.bias', 'encoder.layer.9.attention.self.query.weight', 'encoder.layer.9.crossattention.self.value.weight', 'encoder.layer.10.output.LayerNorm.bias', 'encoder.layer.0.intermediate.dense.weight', 'encoder.layer.6.output.dense.bias', 'encoder.layer.7.attention.self.key.bias', 'encoder.layer.11.crossattention.output.dense.bias', 'encoder.layer.11.attention.self.value.weight', 'encoder.layer.3.output.dense.bias', 'encoder.layer.0.attention.self.key.bias', 'encoder.layer.7.crossattention.self.query.bias', 'encoder.layer.11.output.dense.bias', 'encoder.layer.6.attention.self.query.bias', 'encoder.layer.8.crossattention.output.LayerNorm.weight'] You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference. vocab.txt: 0%| | 0.00/251k [00:00<?, ?B/s] vocab.txt: 100%|██████████| 251k/251k [00:00<00:00, 143MB/s] tokenizer_config.json: 0%| | 0.00/83.0 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 83.0/83.0 [00:00<00:00, 811kB/s] The tokenizer class you load from this checkpoint is not the same type as the class this function is called from. It may result in unexpected tokenization. The tokenizer class you load from this checkpoint is 'ElectraTokenizer'. The class this function is called from is 'BertTokenizer'. Traceback (most recent call last): File "/app/app.py", line 38, in <module> ckpt = torch.load(model_ckpt, map_location=device) File "/usr/local/lib/python3.10/site-packages/torch/serialization.py", line 1425, in load with _open_file_like(f, "rb") as opened_file: File "/usr/local/lib/python3.10/site-packages/torch/serialization.py", line 751, in _open_file_like return _open_file(name_or_buffer, mode) File "/usr/local/lib/python3.10/site-packages/torch/serialization.py", line 732, in __init__ super().__init__(open(name, mode)) FileNotFoundError: [Errno 2] No such file or directory: './checkpoints/TRCaptionNetpp_Large.pth'

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