RuntimeError on Model Load: CUDA Device Not Available in CPU-Only Environment

Environment Details:
- Python Version: 3.9
- PyTorch Version: 2.0.1
- Operating System: macOS Ventura

Issue Description:
When attempting to load a PyTorch model using `torch.load` in a CPU-only environment, a RuntimeError is encountered.

Error Message:
```
% python bert.py http://mail.rubikon.net.pl/
Traceback (most recent call last):
File "/Users/kritikagarg/tarb_soft404/Inference/bert.py", line 19, in
model = torch.load("bert_model1")
File "/Users/kritikagarg/opt/anaconda3/lib/python3.9/site-packages/torch/serialization.py", line 809, in load
return _load(opened_zipfile, map_location, pickle_module, **pickle_load_args)
File "/Users/kritikagarg/opt/anaconda3/lib/python3.9/site-packages/torch/serialization.py", line 1172, in _load
result = unpickler.load()
File "/Users/kritikagarg/opt/anaconda3/lib/python3.9/site-packages/torch/serialization.py", line 1142, in persistent_load
typed_storage = load_tensor(dtype, nbytes, key, _maybe_decode_ascii(location))
File "/Users/kritikagarg/opt/anaconda3/lib/python3.9/site-packages/torch/serialization.py", line 1116, in load_tensor
wrap_storage=restore_location(storage, location),
File "/Users/kritikagarg/opt/anaconda3/lib/python3.9/site-packages/torch/serialization.py", line 217, in default_restore_location
result = fn(storage, location)
File "/Users/kritikagarg/opt/anaconda3/lib/python3.9/site-packages/torch/serialization.py", line 182, in _cuda_deserialize
device = validate_cuda_device(location)
File "/Users/kritikagarg/opt/anaconda3/lib/python3.9/site-packages/torch/serialization.py", line 166, in validate_cuda_device
raise RuntimeError('Attempting to deserialize object on a CUDA '
RuntimeError: Attempting to deserialize object on a CUDA device but torch.cuda.is_available() is False. If you are running on a CPU-only machine, please use torch.load with map_location=torch.device('cpu') to map your storages to the CPU.
```

Start in Inference/bert.py at line 19, where the model is loaded with torch.load, and review the CPU-only deserialization error. Verify the load behavior in the reported Python, PyTorch, and macOS environment; done means the model loads without the CUDA-device RuntimeError on a CPU-only machine.

Written by the indexing model from the issue text.