 copy and paste some code in here inp = """import"""  newlinechar = "<N>" converted = inp.replace("\n", newlinechar) tokenized = tokenizer.encode(converted, return_tensors='pt') resp = model.generate(tokenized)  decoded = tokenizer.decode(resp[0]) reformatted = decoded.replace("<N>","\n")  print(reformatted) ```  Should produce:  ``` import numpy as np import pytest  import pandas as pd<N ```   This model does a ton more than just imports, however. For a bunch of examples and a better understanding of the model's capabilities:  https://pythonprogramming.net/GPT-python-code-transformer-model-GPyT/     Considerations:   1. This model is intended for educational and research use only. Do not trust model outputs. 2. Model is highly likely to regurgitate code almost exactly as it saw it. It's up to you to determine licensing if you intend to actually use the generated code. 3. All Python code was blindly pulled from github. This means included code is both Python 2 and 3, among other more subtle differences, such as tabs being 2 spaces in some cases and 4 in others...and more non-homologous things. 4. Along with the above, this means the code generated could wind up doing or suggesting just about anything. Run the generated code at own risk...it could be *anything*    