22.6.7 successfully use doc2vec model to generate embedded vectors

1. Changed a place to solve the problem of not being able to use

2. Code

from gensim.test.utils import get_tmpfile
from gensim.models.doc2vec import Doc2Vec,TaggedDocument
from gensim.models import Doc2Vec
# import sys  #  Import sys modular 
# sys.setrecursionlimit(3000)  #  Change the default recursion depth to 3000

# fname = get_tmpfile('F:\\test\my_test\doc2vec Generate vector file \\all_model_titles')

# model = Doc2Vec.load(fname)
model = Doc2Vec.load('F:\\test\my_test\doc2vec Generate vector file \\all_model_titles')

vector = model.infer_vector(["hello world!","responce"])
print(vector)

result ：

It depends on gensim by 3.8.3.