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PyTorch CTRL + Style

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Lysandre
2020-01-20 16:17:54 -05:00
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docs/source/model_doc/ctrl.rst
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CTRL
----------------------------------------------------
CTRL model was proposed in `CTRL: A Conditional Transformer Language Model for Controllable Generation`_
by Nitish Shirish Keskar*, Bryan McCann*, Lav R. Varshney, Caiming Xiong and Richard Socher.
It's a causal (unidirectional) transformer pre-trained using language modeling on a very large
corpus of ~140 GB of text data with the first token reserved as a control code (such as Links, Books, Wikipedia etc.).
This model is a PyTorch `torch.nn.Module`_ sub-class. Use it as a regular PyTorch Module and
refer to the PyTorch documentation for all matter related to general usage and behavior.
Note: if you fine-tune a CTRL model using the Salesforce code (https://github.com/salesforce/ctrl),
you'll be able to convert from TF to our HuggingFace/Transformers format using the
``convert_tf_to_huggingface_pytorch.py`` script (see `issue #1654 <https://github.com/huggingface/transformers/issues/1654>`_).