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checkpoint/*
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models/*
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.DS_Store
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from gpt2_client import GPT2Client
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gpt2 = GPT2Client('345M')
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gpt2.load_model(force_download=False)
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#gpt2.generate(interactive=True) # Asks user for prompt
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#gpt2.generate(n_samples=4) # Generates 4 pieces of text
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#text = gpt2.generate(return_text=True) # Generates text and returns it in an array
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#gpt2.generate(interactive=True, n_samples=1, return_text=True) # A different prompt each time
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my_corpus = "./Corpus/Neural_Ordinary_Differential_Equations.txt"
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custom_text = gpt2.finetune(my_corpus, return_text=False)
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#print(custom_text)
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