Cannot load pretrained Word2vec model

[Kavya2342]

Please help, When I load the Word2Vec model, I have a problem that I cannot solve.

The code to run is as follows:

from gensim.models import Word2Vec
w2v_model = Word2Vec.load('E:/projectlzy/data/word2vec_withString10-100-200.model')

FileNotFoundError Traceback (most recent call last)
Input In [1], in <cell line: 2>()
1 from gensim.models import Word2Vec
----> 2 w2v_model = Word2Vec.load('E:/projectlzy/data/word2vec_withString10-100-200.model')

File D:\Anaconda\envs\mykeras\lib\site-packages\gensim\models\word2vec.py:1141, in Word2Vec.load(cls, *args, **kwargs)
1122 """Load a previously saved :class:~gensim.models.word2vec.Word2Vec model.
1123
1124 See Also
(...)
1138
1139 """
1140 try:
-> 1141 model = super(Word2Vec, cls).load(*args, **kwargs)
1143 # for backward compatibility for max_final_vocab feature
1144 if not hasattr(model, 'max_final_vocab'):

File D:\Anaconda\envs\mykeras\lib\site-packages\gensim\models\base_any2vec.py:1230, in BaseWordEmbeddingsModel.load(cls, *args, **kwargs)
1199 @classmethod
1200 def load(cls, *args, **kwargs):
1201 """Load a previously saved object (using :meth:~gensim.models.base_any2vec.BaseWordEmbeddingsModel.save) from file.
1202
1203 Also initializes extra instance attributes in case the loaded model does not include them.
(...)
1228
1229 """
-> 1230 model = super(BaseWordEmbeddingsModel, cls).load(*args, **kwargs)
1231 if not hasattr(model, 'ns_exponent'):
1232 model.ns_exponent = 0.75

File D:\Anaconda\envs\mykeras\lib\site-packages\gensim\models\base_any2vec.py:602, in BaseAny2VecModel.load(cls, fname_or_handle, **kwargs)
575 @classmethod
576 def load(cls, fname_or_handle, **kwargs):
577 """Load a previously saved object (using :meth:gensim.models.base_any2vec.BaseAny2VecModel.save) from a file.
578
579 Parameters
(...)
600
601 """
--> 602 return super(BaseAny2VecModel, cls).load(fname_or_handle, **kwargs)

File D:\Anaconda\envs\mykeras\lib\site-packages\gensim\utils.py:436, in SaveLoad.load(cls, fname, mmap)
433 compress, subname = SaveLoad._adapt_by_suffix(fname)
435 obj = unpickle(fname)
--> 436 obj._load_specials(fname, mmap, compress, subname)
437 logger.info("loaded %s", fname)
438 return obj

File D:\Anaconda\envs\mykeras\lib\site-packages\gensim\utils.py:467, in SaveLoad._load_specials(self, fname, mmap, compress, subname)
465 logger.info("loading %s recursively from %s.* with mmap=%s", attrib, cfname, mmap)
466 with ignore_deprecation_warning():
--> 467 getattr(self, attrib)._load_specials(cfname, mmap, compress, subname)
469 for attrib in getattr(self, '__numpys', []):
470 logger.info("loading %s from %s with mmap=%s", attrib, subname(fname, attrib), mmap)

File D:\Anaconda\envs\mykeras\lib\site-packages\gensim\utils.py:478, in SaveLoad._load_specials(self, fname, mmap, compress, subname)
476 val = np.load(subname(fname, attrib))['val']
477 else:
--> 478 val = np.load(subname(fname, attrib), mmap_mode=mmap)
480 with ignore_deprecation_warning():
481 setattr(self, attrib, val)

File D:\Anaconda\envs\mykeras\lib\site-packages\numpy\lib\npyio.py:390, in load(file, mmap_mode, allow_pickle, fix_imports, encoding)
388 own_fid = False
389 else:
--> 390 fid = stack.enter_context(open(os_fspath(file), "rb"))
391 own_fid = True
393 # Code to distinguish from NumPy binary files and pickles.

FileNotFoundError: [Errno 2] No such file or directory: 'E:/projectlzy/data/word2vec_withString10-100-200.model.wv.vectors.npy'