runtime error

▉| 440M/440M [00:07<00:00, 63.1MB/s] Downloading pytorch_model.bin: 100%|██████████| 440M/440M [00:07<00:00, 55.5MB/s] Some weights of the model checkpoint at bert-base-uncased were not used when initializing BertForSequenceClassification: ['cls.predictions.transform.LayerNorm.bias', 'cls.predictions.transform.LayerNorm.weight', 'cls.seq_relationship.bias', 'cls.predictions.transform.dense.weight', 'cls.predictions.decoder.weight', 'cls.seq_relationship.weight', 'cls.predictions.bias', 'cls.predictions.transform.dense.bias'] - This IS expected if you are initializing BertForSequenceClassification from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model). - This IS NOT expected if you are initializing BertForSequenceClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model). Some weights of BertForSequenceClassification were not initialized from the model checkpoint at bert-base-uncased and are newly initialized: ['classifier.weight', 'classifier.bias'] You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference. Traceback (most recent call last): File "app.py", line 23, in <module> model.load_state_dict(torch.load('/content/drive/MyDrive/best_model.pth')) # Load model weights File "/home/user/.local/lib/python3.8/site-packages/torch/serialization.py", line 791, in load with _open_file_like(f, 'rb') as opened_file: File "/home/user/.local/lib/python3.8/site-packages/torch/serialization.py", line 271, in _open_file_like return _open_file(name_or_buffer, mode) File "/home/user/.local/lib/python3.8/site-packages/torch/serialization.py", line 252, in __init__ super().__init__(open(name, mode)) FileNotFoundError: [Errno 2] No such file or directory: '/content/drive/MyDrive/best_model.pth'

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