converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor

[lllxf]

usr/local/lib/python3.7/site-packages/transformers/tokenization_utils_base.py:705: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at ../torch/csrc/utils/tensor_new.cpp:230.)
tensor = as_tensor(value)

I am trying to load the model using a previously trained checkpoint file and it takes a long time to skip the previous data and has the above warning, how can I solve it?