| from typing import List, Dict | |
| from flair.models.language_model import LanguageModel | |
| class PreTrainedPipeline: | |
| def __init__(self, path=""): | |
| from huggingface_hub import hf_hub_download | |
| self.model = LanguageModel.load_language_model( | |
| hf_hub_download(repo_id="dchaplinsky/flair-uk-backward-large", filename="best-lm.pt") | |
| ) | |
| def __call__(self, inputs: str) -> List[Dict]: | |
| """ | |
| Args: | |
| inputs (:obj:`str`): | |
| a string containing some text | |
| Return: | |
| A :obj:`str` | |
| """ | |
| inputs = inputs.strip() | |
| return [{"generated_text": self.model.generate_text(inputs, temperature=0.5)[0]}] | |