Fixes
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@@ -10,49 +10,49 @@ It is a model trained on 138GB of French text.
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This implementation is the same as RoBERTa.
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``CamembertConfig``
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~~~~~~~~~~~~~~~~~~~~~
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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.. autoclass:: transformers.CamembertConfig
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:members:
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``CamembertTokenizer``
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~~~~~~~~~~~~~~~~~~~~~
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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.. autoclass:: transformers.CamembertTokenizer
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:members:
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``CamembertModel``
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~~~~~~~~~~~~~~~~~~~~
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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.. autoclass:: transformers.CamembertModel
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:members:
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``CamembertForMaskedLM``
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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.. autoclass:: transformers.CamembertForMaskedLM
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:members:
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``CamembertForSequenceClassification``
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~~~~~~~~~~~~~~~~~~~~~~~~~~
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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.. autoclass:: transformers.CamembertForSequenceClassification
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:members:
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``CamembertForMultipleChoice``
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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.. autoclass:: transformers.CamembertForMultipleChoice
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:members:
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``CamembertForTokenClassification``
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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.. autoclass:: transformers.CamembertForTokenClassification
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:members:
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@@ -1,13 +1,14 @@
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CTRL
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----------------------------------------------------
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CTRL model was proposed in `CTRL: A Conditional Transformer Language Model for Controllable Generation`_
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CTRL model was proposed in `CTRL: A Conditional Transformer Language Model for Controllable Generation <https://arxiv.org/abs/1909.05858>`_
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by Nitish Shirish Keskar*, Bryan McCann*, Lav R. Varshney, Caiming Xiong and Richard Socher.
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It's a causal (unidirectional) transformer pre-trained using language modeling on a very large
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corpus of ~140 GB of text data with the first token reserved as a control code (such as Links, Books, Wikipedia etc.).
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This model is a PyTorch `torch.nn.Module`_ sub-class. Use it as a regular PyTorch Module and
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refer to the PyTorch documentation for all matter related to general usage and behavior.
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This model is a PyTorch `torch.nn.Module <https://pytorch.org/docs/stable/nn.html#torch.nn.Module>`_ sub-class.
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Use it as a regular PyTorch Module and refer to the PyTorch documentation for all matter related to general
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usage and behavior.
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Note: if you fine-tune a CTRL model using the Salesforce code (https://github.com/salesforce/ctrl),
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you'll be able to convert from TF to our HuggingFace/Transformers format using the
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