  token in a sequence. Leveraging this feature allows CTRL to generate syntactically coherent text as it can be
  observed in the run_generation.py example script.
The PyTorch models can take the past as input, which is the previously computed key/value attention pairs. Using
  this past value prevents the model from re-computing pre-computed values in the context of text generation. See
  reusing the past in generative models for more information on the usage of
  this argument.
This model was contributed by keskarnitishr. The original code can be found
here.
CTRLConfig
[[autodoc]] CTRLConfig
CTRLTokenizer
[[autodoc]] CTRLTokenizer
    - save_vocabulary
CTRLModel
[[autodoc]] CTRLModel
    - forward
CTRLLMHeadModel
[[autodoc]] CTRLLMHeadModel
    - forward
CTRLForSequenceClassification
[[autodoc]] CTRLForSequenceClassification
