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- from textgenrnn import textgenrnn
- textgen = textgenrnn()
- dataset = “”
- epochs = 1000
- dropout = 0.1
- textgen.reset()
- textgen.train_from_file(dataset, new_model = True, num_epochs = epochs, dropout = dropout)
- textgen.generate(1000)
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