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Fix all sphynx warnings (#5068)

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This commit is contained in:
Sylvain Gugger
2020-06-16 16:50:02 -04:00
committed by GitHub
parent af497b5672
commit 011cc0be51
25 changed files with 183 additions and 139 deletions
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1
docs/source/main_classes/optimizer_schedules.rst
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@@ -17,7 +17,6 @@ The ``.optimization`` module provides:
~~~~~~~~~~~~~~~~~~~
.. autoclass:: transformers.AdamWeightDecay
:members:
.. autofunction:: transformers.create_optimizer

5
docs/source/main_classes/pipelines.rst
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@@ -7,7 +7,7 @@ Recognition, Masked Language Modeling, Sentiment Analysis, Feature Extraction an
There are two categories of pipeline abstractions to be aware about:
- The :class:`~transformers.pipeline` which is the most powerful object encapsulating all other pipelines
- The :func:`~transformers.pipeline` which is the most powerful object encapsulating all other pipelines
- The other task-specific pipelines, such as :class:`~transformers.TokenClassificationPipeline`
or :class:`~transformers.QuestionAnsweringPipeline`
@@ -17,8 +17,7 @@ The pipeline abstraction
The `pipeline` abstraction is a wrapper around all the other available pipelines. It is instantiated as any
other pipeline but requires an additional argument which is the `task`.
.. autoclass:: transformers.pipeline
:members:
... autofunction:: transformers.pipeline
The task specific pipelines