How to solve duplicated lists in numpy 1.24?

Now I have a 2-dimensional list which have many duplicated lists in it：

sta_list = [[31, 30, 11, 3, 1, 0], [31, 30, 11, 3, 1, 0], [31, 30, 11, 3, 1, 0], ……, [31, 30, 11, 3, 1, 0], [31, 30, 11, 3, 1, 0], [34, 33, 1, 0], ……]

In numpy 1.22, I can use np.unique to remove duplicated lists like this:

np.unique(np.array(sta_lists))

But in numpy 1.24, it can only get this error:

Traceback (most recent call last):  File "C:\Users\yy\AppData\Roaming\JetBrains\IntelliJIdea2023.3\plugins\python\helpers-pro\pydevd_asyncio\pydevd_asyncio_utils.py", line 114, in _exec_async_code    result = func()             ^^^^^^  File "<input>", line 1, in <module>ValueError: setting an array element with a sequence. The requested array has an inhomogeneous shape after 1 dimensions. The detected shape was (396,) + inhomogeneous part.

So how to solve the problem in python 3.11 and numpy 1.24 rather than retreating to older python and numpy？