Fix type hint of StaticEmbedding.__init__

[altescy]

Hi there 👋
This is a small change of type annotation in StaticEmbedding.__init__: np.array -> np.ndarray

np.array | None is not evaluated correctly

>>> import typing
>>> from sentence_transformers.models.StaticEmbedding import StaticEmbedding
>>> typing.get_type_hints(StaticEmbedding.__init__)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/opt/homebrew/Cellar/python@3.12/3.12.8/Frameworks/Python.framework/Versions/3.12/lib/python3.12/typing.py", line 2311, in get_type_hints
    hints[name] = _eval_type(value, globalns, localns, type_params)
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/homebrew/Cellar/python@3.12/3.12.8/Frameworks/Python.framework/Versions/3.12/lib/python3.12/typing.py", line 415, in _eval_type
    return t._evaluate(globalns, localns, type_params, recursive_guard=recursive_guard)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/homebrew/Cellar/python@3.12/3.12.8/Frameworks/Python.framework/Versions/3.12/lib/python3.12/typing.py", line 947, in _evaluate
    eval(self.__forward_code__, globalns, localns),
    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<string>", line 1, in <module>
TypeError: unsupported operand type(s) for |: 'builtin_function_or_method' and 'torch._C._TensorMeta'

[tomaarsen]

Hello!

Well spotted! I can reproduce the issue, and your fix works for me locally as well.
Thanks a bunch!

• Tom Aarsen