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.
There are two categories of pipeline abstractions to be aware about:
The
pipelinewhich is the most powerful object encapsulating all other pipelinesThe other task-specific pipelines, such as
NerPipelineorQuestionAnsweringPipeline
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 task specific pipelines¶
Parent class: Pipeline¶
NerPipeline¶
TokenClassificationPipeline¶
This class is an alias of the NerPipeline defined above. Please refer to that pipeline for
documentation and usage examples.