~/.pyenv/versions/3.8.3/lib/python3.8/site-packages/gensim/models/base_any2vec.py in build_vocab(self, sentences, corpus_file, update, progress_per, keep_raw_vocab, trim_rule, **kwargs)ĩ28 report_values = self.estimate_memory(vocab_size=report_values)
#Mac android studio: emulator: process finished with exit code 134 (interrupted by signal 6: sigabrt update#
> 2 base_model.build_vocab(new_tokens, update = True)Ĥ #base_ain(new_tokens, total_examples=1, epochs=base_model.epochs) ValueError Traceback (most recent call last) New_tokens = ]īase_model.build_vocab(new_tokens, update = True)īut I get the error:. So I tried base_model = Word2Vec.load("base_model.model", mmap='r') Then, when I have a new document I want to load the model and add the tokens from the new document. Wiki_base_model.save('wiki_base_model.model') #normalizing vectors so they all have equal length Glove_vecs = īase_model.build_vocab(glove_vecs, update = True)īase_ain(tokens, total_examples=total_examples, epochs=base_model.epochs) Wiki_vectors = api.load('glove-wiki-gigaword-50') import gensim.downloader as apiīase_model = Word2Vec(size = 50, min_count= 5, workers = 10)
I have a word2vec model saved to my local harddrive using the following code. opt/conda/lib/python3.7/site-packages/pandas/_libs/lib.pyx in pandas._infer()ĪttributeError: 'str' object has no attribute 'decode' > 870 new_values = map_f(values, mapper) opt/conda/lib/python3.7/site-packages/pandas/core/base.py in _map_values(self, mapper, na_action) > 4161 new_values = super()._map_values(arg, na_action=na_action)Ĥ162 return self._constructor(new_values, index=self.index)._finalize_( opt/conda/lib/python3.7/site-packages/pandas/core/series.py in map(self, arg, na_action) > 4 sentences = list(train.map(lambda x: re.sub(""," ", (x).decode('utf-8')).lower().split()))ĥ test_sentences = # Initialize an empty list of sentencesĦ #for review in test: Traceback AttributeError Traceback (most recent call last)Ģ #for review in train: Code df=pd.read_csv('x.csv', encoding= 'unicode_escape')
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