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)