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Construct the pipeline object from model_id and task.
from_model_id( cls, model_id: str, tokenizer_config: Optional[dict] = None, adapter_file: Optional[str] = None, lazy: bool = False, pipeline_kwargs: Optional[dict] = None, **kwargs: Any = {} ) -> MLXPipeline
