transformers/docs/source/main_classes/pipelines.rst
Lysandre Debut 1c1a2ffbff
TableQuestionAnsweringPipeline (#9145)
* AutoModelForTableQuestionAnswering

* TableQuestionAnsweringPipeline

* Apply suggestions from Patrick's code review

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Sylvain and Patrick comments

* Better PyTorch/TF error message

* Add integration tests

* Argument Handler naming

Co-authored-by: patrickvonplaten <patrick.v.platen@gmail.com>

* Fix docs to appease the documentation gods

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
2020-12-16 12:31:50 -05:00

149 lines
5.8 KiB
ReStructuredText

..
Copyright 2020 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on
an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the
specific language governing permissions and limitations under the License.
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
Recognition, Masked Language Modeling, Sentiment Analysis, Feature Extraction and Question Answering. See the
:doc:`task summary <../task_summary>` for examples of use.
There are two categories of pipeline abstractions to be aware about:
- The :func:`~transformers.pipeline` which is the most powerful object encapsulating all other pipelines.
- The other task-specific pipelines:
- :class:`~transformers.ConversationalPipeline`
- :class:`~transformers.FeatureExtractionPipeline`
- :class:`~transformers.FillMaskPipeline`
- :class:`~transformers.QuestionAnsweringPipeline`
- :class:`~transformers.SummarizationPipeline`
- :class:`~transformers.TextClassificationPipeline`
- :class:`~transformers.TextGenerationPipeline`
- :class:`~transformers.TokenClassificationPipeline`
- :class:`~transformers.TranslationPipeline`
- :class:`~transformers.ZeroShotClassificationPipeline`
- :class:`~transformers.Text2TextGenerationPipeline`
- :class:`~transformers.TableQuestionAnsweringPipeline`
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`.
.. autofunction:: transformers.pipeline
The task specific pipelines
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
ConversationalPipeline
=======================================================================================================================
.. autoclass:: transformers.Conversation
.. autoclass:: transformers.ConversationalPipeline
:special-members: __call__
:members:
FeatureExtractionPipeline
=======================================================================================================================
.. autoclass:: transformers.FeatureExtractionPipeline
:special-members: __call__
:members:
FillMaskPipeline
=======================================================================================================================
.. autoclass:: transformers.FillMaskPipeline
:special-members: __call__
:members:
NerPipeline
=======================================================================================================================
.. autoclass:: transformers.NerPipeline
See :class:`~transformers.TokenClassificationPipeline` for all details.
QuestionAnsweringPipeline
=======================================================================================================================
.. autoclass:: transformers.QuestionAnsweringPipeline
:special-members: __call__
:members:
SummarizationPipeline
=======================================================================================================================
.. autoclass:: transformers.SummarizationPipeline
:special-members: __call__
:members:
TableQuestionAnsweringPipeline
=======================================================================================================================
.. autoclass:: transformers.TableQuestionAnsweringPipeline
:special-members: __call__
TextClassificationPipeline
=======================================================================================================================
.. autoclass:: transformers.TextClassificationPipeline
:special-members: __call__
:members:
TextGenerationPipeline
=======================================================================================================================
.. autoclass:: transformers.TextGenerationPipeline
:special-members: __call__
:members:
Text2TextGenerationPipeline
=======================================================================================================================
.. autoclass:: transformers.Text2TextGenerationPipeline
:special-members: __call__
:members:
TokenClassificationPipeline
=======================================================================================================================
.. autoclass:: transformers.TokenClassificationPipeline
:special-members: __call__
:members:
TranslationPipeline
=======================================================================================================================
.. autoclass:: transformers.TranslationPipeline
:special-members: __call__
:members:
ZeroShotClassificationPipeline
=======================================================================================================================
.. autoclass:: transformers.ZeroShotClassificationPipeline
:special-members: __call__
:members:
Parent class: :obj:`Pipeline`
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
.. autoclass:: transformers.Pipeline
:members: