[doc] pytorch_transformers -> transformers

docs/source/main_classes/model.rst

@@ -17,5 +17,5 @@ The base class ``PreTrainedModel`` implements the common methods for loading/sav
 ``TFPreTrainedModel``
 ~~~~~~~~~~~~~~~~~~~~~
 
-.. autoclass:: pytorch_transformers.TFPreTrainedModel
+.. autoclass:: transformers.TFPreTrainedModel
     :members:

docs/source/main_classes/processors.rst

@@ -8,20 +8,20 @@ Processors
 ~~~~~~~~~~~~~~~~~~~~~
 
 All processors follow the same architecture which is that of the
-:class:`~pytorch_transformers.data.processors.utils.DataProcessor`. The processor returns a list
-of :class:`~pytorch_transformers.data.processors.utils.InputExample`. These
-:class:`~pytorch_transformers.data.processors.utils.InputExample` can be converted to
-:class:`~pytorch_transformers.data.processors.utils.InputFeatures` in order to be fed to the model.
+:class:`~transformers.data.processors.utils.DataProcessor`. The processor returns a list
+of :class:`~transformers.data.processors.utils.InputExample`. These
+:class:`~transformers.data.processors.utils.InputExample` can be converted to
+:class:`~transformers.data.processors.utils.InputFeatures` in order to be fed to the model.
 
-.. autoclass:: pytorch_transformers.data.processors.utils.DataProcessor
+.. autoclass:: transformers.data.processors.utils.DataProcessor
     :members:
 
 
-.. autoclass:: pytorch_transformers.data.processors.utils.InputExample
+.. autoclass:: transformers.data.processors.utils.InputExample
     :members:
 
 
-.. autoclass:: pytorch_transformers.data.processors.utils.InputFeatures
+.. autoclass:: transformers.data.processors.utils.InputFeatures
     :members:
 
 
@@ -36,20 +36,20 @@ This library hosts a total of 10 processors for the following tasks: MRPC, MNLI,
 CoLA, SST2, STSB, QQP, QNLI, RTE and WNLI.
 
 Those processors are:
-    - :class:`~pytorch_transformers.data.processors.utils.MrpcProcessor`
-    - :class:`~pytorch_transformers.data.processors.utils.MnliProcessor`
-    - :class:`~pytorch_transformers.data.processors.utils.MnliMismatchedProcessor`
-    - :class:`~pytorch_transformers.data.processors.utils.Sst2Processor`
-    - :class:`~pytorch_transformers.data.processors.utils.StsbProcessor`
-    - :class:`~pytorch_transformers.data.processors.utils.QqpProcessor`
-    - :class:`~pytorch_transformers.data.processors.utils.QnliProcessor`
-    - :class:`~pytorch_transformers.data.processors.utils.RteProcessor`
-    - :class:`~pytorch_transformers.data.processors.utils.WnliProcessor`
+    - :class:`~transformers.data.processors.utils.MrpcProcessor`
+    - :class:`~transformers.data.processors.utils.MnliProcessor`
+    - :class:`~transformers.data.processors.utils.MnliMismatchedProcessor`
+    - :class:`~transformers.data.processors.utils.Sst2Processor`
+    - :class:`~transformers.data.processors.utils.StsbProcessor`
+    - :class:`~transformers.data.processors.utils.QqpProcessor`
+    - :class:`~transformers.data.processors.utils.QnliProcessor`
+    - :class:`~transformers.data.processors.utils.RteProcessor`
+    - :class:`~transformers.data.processors.utils.WnliProcessor`
 
 Additionally, the following method  can be used to load values from a data file and convert them to a list of
-:class:`~pytorch_transformers.data.processors.utils.InputExample`.
+:class:`~transformers.data.processors.utils.InputExample`.
 
-.. automethod:: pytorch_transformers.data.processors.glue.glue_convert_examples_to_features
+.. automethod:: transformers.data.processors.glue.glue_convert_examples_to_features
 
 Example usage
 ^^^^^^^^^^^^^^^^^^^^^^^^^

docs/source/model_doc/bert.rst

@@ -74,55 +74,55 @@ BERT
 ``TFBertModel``
 ~~~~~~~~~~~~~~~~~~~~
 
-.. autoclass:: pytorch_transformers.TFBertModel
+.. autoclass:: transformers.TFBertModel
     :members:
 
 
 ``TFBertForPreTraining``
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
-.. autoclass:: pytorch_transformers.TFBertForPreTraining
+.. autoclass:: transformers.TFBertForPreTraining
     :members:
 
 
 ``TFBertForMaskedLM``
 ~~~~~~~~~~~~~~~~~~~~~~~~~~
 
-.. autoclass:: pytorch_transformers.TFBertForMaskedLM
+.. autoclass:: transformers.TFBertForMaskedLM
     :members:
 
 
 ``TFBertForNextSentencePrediction``
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
-.. autoclass:: pytorch_transformers.TFBertForNextSentencePrediction
+.. autoclass:: transformers.TFBertForNextSentencePrediction
     :members:
 
 
 ``TFBertForSequenceClassification``
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
-.. autoclass:: pytorch_transformers.TFBertForSequenceClassification
+.. autoclass:: transformers.TFBertForSequenceClassification
     :members:
 
 
 ``TFBertForMultipleChoice``
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
-.. autoclass:: pytorch_transformers.TFBertForMultipleChoice
+.. autoclass:: transformers.TFBertForMultipleChoice
     :members:
 
 
 ``TFBertForTokenClassification``
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
-.. autoclass:: pytorch_transformers.TFBertForTokenClassification
+.. autoclass:: transformers.TFBertForTokenClassification
     :members:
 
 
 ``TFBertForQuestionAnswering``
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
-.. autoclass:: pytorch_transformers.TFBertForQuestionAnswering
+.. autoclass:: transformers.TFBertForQuestionAnswering
     :members:
 

docs/source/model_doc/distilbert.rst

@@ -45,26 +45,26 @@ DistilBERT
 ``TFDistilBertModel``
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
-.. autoclass:: pytorch_transformers.TFDistilBertModel
+.. autoclass:: transformers.TFDistilBertModel
     :members:
 
 
 ``TFDistilBertForMaskedLM``
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
-.. autoclass:: pytorch_transformers.TFDistilBertForMaskedLM
+.. autoclass:: transformers.TFDistilBertForMaskedLM
     :members:
 
 
 ``TFDistilBertForSequenceClassification``
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
-.. autoclass:: pytorch_transformers.TFDistilBertForSequenceClassification
+.. autoclass:: transformers.TFDistilBertForSequenceClassification
     :members:
 
 
 ``TFDistilBertForQuestionAnswering``
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
-.. autoclass:: pytorch_transformers.TFDistilBertForQuestionAnswering
+.. autoclass:: transformers.TFDistilBertForQuestionAnswering
     :members:

docs/source/model_doc/gpt.rst

@@ -39,19 +39,19 @@ OpenAI GPT
 ``TFOpenAIGPTModel``
 ~~~~~~~~~~~~~~~~~~~~~~~~~
 
-.. autoclass:: pytorch_transformers.TFOpenAIGPTModel
+.. autoclass:: transformers.TFOpenAIGPTModel
     :members:
 
 
 ``TFOpenAIGPTLMHeadModel``
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
-.. autoclass:: pytorch_transformers.TFOpenAIGPTLMHeadModel
+.. autoclass:: transformers.TFOpenAIGPTLMHeadModel
     :members:
 
 
 ``TFOpenAIGPTDoubleHeadsModel``
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
-.. autoclass:: pytorch_transformers.TFOpenAIGPTDoubleHeadsModel
+.. autoclass:: transformers.TFOpenAIGPTDoubleHeadsModel
     :members:

docs/source/model_doc/gpt2.rst

@@ -39,19 +39,19 @@ OpenAI GPT2
 ``TFGPT2Model``
 ~~~~~~~~~~~~~~~~~~~~~
 
-.. autoclass:: pytorch_transformers.TFGPT2Model
+.. autoclass:: transformers.TFGPT2Model
     :members:
 
 
 ``TFGPT2LMHeadModel``
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
-.. autoclass:: pytorch_transformers.TFGPT2LMHeadModel
+.. autoclass:: transformers.TFGPT2LMHeadModel
     :members:
 
 
 ``TFGPT2DoubleHeadsModel``
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
-.. autoclass:: pytorch_transformers.TFGPT2DoubleHeadsModel
+.. autoclass:: transformers.TFGPT2DoubleHeadsModel
     :members:

docs/source/model_doc/roberta.rst

@@ -39,19 +39,19 @@ RoBERTa
 ``TFRobertaModel``
 ~~~~~~~~~~~~~~~~~~~~
 
-.. autoclass:: pytorch_transformers.TFRobertaModel
+.. autoclass:: transformers.TFRobertaModel
     :members:
 
 
 ``TFRobertaForMaskedLM``
 ~~~~~~~~~~~~~~~~~~~~~~~~~~
 
-.. autoclass:: pytorch_transformers.TFRobertaForMaskedLM
+.. autoclass:: transformers.TFRobertaForMaskedLM
     :members:
 
 
 ``TFRobertaForSequenceClassification``
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
-.. autoclass:: pytorch_transformers.TFRobertaForSequenceClassification
+.. autoclass:: transformers.TFRobertaForSequenceClassification
     :members:

docs/source/model_doc/transformerxl.rst

@@ -33,12 +33,12 @@ Transformer XL
 ``TFTransfoXLModel``
 ~~~~~~~~~~~~~~~~~~~~~~~~~~
 
-.. autoclass:: pytorch_transformers.TFTransfoXLModel
+.. autoclass:: transformers.TFTransfoXLModel
     :members:
 
 
 ``TFTransfoXLLMHeadModel``
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
-.. autoclass:: pytorch_transformers.TFTransfoXLLMHeadModel
+.. autoclass:: transformers.TFTransfoXLLMHeadModel
     :members:

docs/source/model_doc/xlnet.rst

@@ -46,26 +46,26 @@ XLNet
 ``TFXLNetModel``
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
-.. autoclass:: pytorch_transformers.TFXLNetModel
+.. autoclass:: transformers.TFXLNetModel
     :members:
 
 
 ``TFXLNetLMHeadModel``
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
-.. autoclass:: pytorch_transformers.TFXLNetLMHeadModel
+.. autoclass:: transformers.TFXLNetLMHeadModel
     :members:
 
 
 ``TFXLNetForSequenceClassification``
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
-.. autoclass:: pytorch_transformers.TFXLNetForSequenceClassification
+.. autoclass:: transformers.TFXLNetForSequenceClassification
     :members:
 
 
 ``TFXLNetForQuestionAnsweringSimple``
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
-.. autoclass:: pytorch_transformers.TFXLNetForQuestionAnsweringSimple
+.. autoclass:: transformers.TFXLNetForQuestionAnsweringSimple
     :members: