TransformersTextToSpeech
Text to speech task
Subclass of Task.
Module: implementation.tasks
Default predictor
This task uses TransformersPipeline by default with this configuration:
TransformersPipeline(
cfg=TransformersPipelineConfig(
task="text-to-speech",
model="suno/bark-small",
model_kwargs={
"do_sample": True,
},
),
input_class=TransformersTextToSpeechInput,
output_class=TransformersTextToSpeechOutput
)
See:
Methods and properties
Main methods and properties
__init__
Arguments:
predictor (Predictor[Any, Any], optional): Predictor that will be used in task. If equals to None, default predictor will be used. Defaults to None.
preprocess (Optional[Component], optional): Component executed before predictor. Defaults to None.
postprocess (Optional[Component], optional): Component executed after predictor. Defaults to None.
input_class (Type[Input], optional): Class for input validation. Defaults to TransformersTextToSpeechInput.
output_class (Type[Output], optional): Class for output validation. Defaults to TransformersTextToSpeechOutput.
name (Optional[str], optional): Name for identification. If equals to None, class name will be used. Defaults to None.
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