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
task summary for examples of use.
There are two categories of pipeline abstractions to be aware about:
The [pipeline] which is the most powerful object encapsulating all other pipelines.
The other task-specific pipelines:
[AudioClassificationPipeline]
[AutomaticSpeechRecognitionPipeline]
[ConversationalPipeline]
[FeatureExtractionPipeline]
[FillMaskPipeline]
[ImageClassificationPipeline]
[ImageSegmentationPipeline]
[ObjectDetectionPipeline]
[QuestionAnsweringPipeline]
