[SummarizationPipeline]
[TableQuestionAnsweringPipeline]
[TextClassificationPipeline]
[TextGenerationPipeline]
[Text2TextGenerationPipeline]
[TokenClassificationPipeline]
[TranslationPipeline]
[ZeroShotClassificationPipeline]
The pipeline abstraction
The pipeline abstraction is a wrapper around all the other available pipelines. It is instantiated as any other
pipeline but can provide additional quality of life.
Simple call on one item:
```python
pipe = pipeline("text-classification")
pipe("This restaurant is awesome")
[{'label': 'POSITIVE', 'score': 0.9998743534088135}]
```
If you want to use a specific model from the hub you can ignore the task if the model on
the hub already defines it:
```python
pipe = pipeline(model="roberta-large-mnli")
pipe("This restaurant is awesome")
[{'label': 'POSITIVE', 'score': 0.9998743534088135}]
