text_plain_output_1.png
word_freq = {dct[k]: v for k, v in dct.cfs.items()}
w2v_model.build_vocab_from_freq(word_freq)
num_samples = dct.num_docs
w2v_model.train(tokenized_data, total_examples=num_samples, epochs=epochs)