Pandas BUG: pd.array raising for large_string/large_binary with NumPy array

Pandas version checks

• [X] I have checked that this issue has not already been reported.

• [X] I have confirmed this bug exists on the latest version of pandas.

• [X] I have confirmed this bug exists on the main branch of pandas.

Reproducible Example

arr = np.array(["a", "b"])
pd.array(arr, dtype=pd.ArrowDtype(pa.large_string()))

arr = np.array([b"a", b"b"])
pd.array(arr, dtype=pd.ArrowDtype(pa.large_binary()))

Traceback (most recent call last):
  File "/Users/patrick/Library/Application Support/JetBrains/PyCharm2023.1/scratches/scratch.py", line 530, in <module>
    pd.array(arr, dtype=pd.ArrowDtype(pa.large_string()))
  File "/Users/patrick/PycharmProjects/pandas/pandas/core/construction.py", line 327, in array
    return cls._from_sequence(data, dtype=dtype, copy=copy)
  File "/Users/patrick/PycharmProjects/pandas/pandas/core/arrays/arrow/array.py", line 250, in _from_sequence
    scalars = pa.array(scalars, type=pa_dtype, from_pandas=True)
  File "pyarrow/array.pxi", line 316, in pyarrow.lib.array
  File "pyarrow/array.pxi", line 83, in pyarrow.lib._ndarray_to_array
  File "pyarrow/error.pxi", line 121, in pyarrow.lib.check_status
pyarrow.lib.ArrowNotImplementedError: NumPyConverter doesn't implement <large_string> conversion. 

Issue Description

This raises since NumPy does not implement the converter. I think we should work around this.

Expected Behavior

Returns an ArrowExtensionArray

Installed Versions

main