Doc styling (#8067)

* Important files

* Styling them all

* Revert "Styling them all"

This reverts commit 7d029395fdae8513b8281cbc2a6c239f8093503e.

* Syling them for realsies

* Fix syntax error

* Fix benchmark_utils

* More fixes

* Fix modeling auto and script

* Remove new line

* Fixes

* More fixes

* Fix more files

* Style

* Add FSMT

* More fixes

* More fixes

* More fixes

* More fixes

* Fixes

* More fixes

* More fixes

* Last fixes

* Make sphinx happy
This commit is contained in:
Sylvain Gugger
2020-10-26 18:26:02 -04:00
committed by GitHub
parent 04a17f8550
commit 08f534d2da
271 changed files with 9726 additions and 8991 deletions

View File

@@ -1,8 +1,8 @@
Pipelines
-----------------------------------------------------------------------------------------------------------------------
The pipelines are a great and easy way to use models for inference. These pipelines are objects that abstract most
of the complex code from the library, offering a simple API dedicated to several tasks, including Named Entity
The pipelines are a great and easy way to use models for inference. These pipelines are objects that abstract most of
the complex code from the library, offering a simple API dedicated to several tasks, including Named Entity
Recognition, Masked Language Modeling, Sentiment Analysis, Feature Extraction and Question Answering. See the
:doc:`task summary <../task_summary>` for examples of use.
@@ -26,8 +26,8 @@ There are two categories of pipeline abstractions to be aware about:
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`.
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`.
.. autofunction:: transformers.pipeline