docker_images/adapter_transformers/app/pipelines/text_generation.py (10 lines of code) (raw):

from typing import Dict, List from app.pipelines import Pipeline from transformers import TextGenerationPipeline as TransformersTextGenerationPipeline class TextGenerationPipeline(Pipeline): def __init__(self, adapter_id: str): self.pipeline = self._load_pipeline_instance( TransformersTextGenerationPipeline, adapter_id ) def __call__(self, inputs: str) -> List[Dict[str, str]]: """ Args: inputs (:obj:`str`): The input text Return: A :obj:`list`:. The list contains a single item that is a dict {"text": the model output} """ return self.pipeline(inputs, truncation=True)