numpy.dtype size changed, may indicate binary incompatibility. Expected 96 from C header, got 88 from PyObject

I want to call my Python module from the Matlab. I received the error:

Error using numpy_ops>init thinc.backends.numpy_ops

Python Error:

 ValueError: numpy.dtype size changed, may indicate binary incompatibility. Expected 96 from C header, got 88 from PyObject.

The Python script is as follows

import spacy
def text_recognizer(model_path, text):
try:
    # Load the trained model
    nlp = spacy.load(model_path)
    print("Model loaded successfully.")
    
    # Process the given text
    doc = nlp(text)
    ent_labels = [(ent.text, ent.label_) for ent in doc.ents]
        return ent_labels

The Matlab script is as follows

% Set up the Python environment
pe = pyenv;
py.importlib.import_module('final_output');

% Add the directory containing the Python script to the Python path
path_add = fileparts(which('final_output.py'));
if count(py.sys.path, path_add) == 0
    insert(py.sys.path, int64(0), path_add);
end
% Define model path and text to process
model_path = 'D:\trained_model\\output\\model-best';
text = 'Roses are red';
% Call the Python function
pyOut = py.final_output.text_recognizer(model_path, text);
% Convert the output to a MATLAB cell array
entity_labels = cell(pyOut);
disp(entity_labels);

I found one solution to update Numpy, what I did, but nothing changed. I am using Python 3.9 and Numpy version 2.0.0

The error was received when I tried to call the Python module using a Matlab script.

How can I fix the issue?