day04-基于BERT模型的自定义微调训练：
python token_test.py
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.3.4 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
这个版本当时是1.X？要如何编译？
是在CPU环境下运行的：
Traceback (most recent call last): File "/Users/liangjian/Downloads/day04-基于BERT模型的自定义微调训练/demo_04/train_val.py", line 2, in <module>
import torch
File "/opt/miniconda3/envs/day4/lib/python3.11/site-packages/torch/__init__.py", line 1477, in <module>
from .functional import * # noqa: F403
File "/opt/miniconda3/envs/day4/lib/python3.11/site-packages/torch/functional.py", line 9, in <module>
import torch.nn.functional as F
File "/opt/miniconda3/envs/day4/lib/python3.11/site-packages/torch/nn/__init__.py", line 1, in <module>
from .modules import * # noqa: F403
File "/opt/miniconda3/envs/day4/lib/python3.11/site-packages/torch/nn/modules/__init__.py", line 35, in <module>
from .transformer import TransformerEncoder, TransformerDecoder, \
File "/opt/miniconda3/envs/day4/lib/python3.11/site-packages/torch/nn/modules/transformer.py", line 20, in <module>
device: torch.device = torch.device(torch._C._get_default_device()), # torch.device('cpu'),
/opt/miniconda3/envs/day4/lib/python3.11/site-packages/torch/nn/modules/transformer.py:20: UserWarning: Failed to initialize NumPy: _ARRAY_API not found (Triggered internally at /Users/runner/work/pytorch/pytorch/pytorch/torch/csrc/utils/tensor_numpy.cpp:84.)
device: torch.device = torch.device(torch._C._get_default_device()), # torch.device('cpu'),
