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from typing import Dict, List |
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import numpy as np |
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class PreTrainedPipeline(): |
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def __init__(self, path=""): |
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raise NotImplementedError( |
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"Please implement PreTrainedPipeline __init__ function" |
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) |
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def __call__(self, inputs: str) -> List[List[Dict[str, float]]]: |
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""" |
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Args: |
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inputs (:obj:`str`): |
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a string containing some text |
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Return: |
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A :obj:`list`:. The object returned should be a list of one list like [[{"label": 0.9939950108528137}]] containing : |
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- "label": A string representing what the label/class is. There can be multiple labels. |
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- "score": A score between 0 and 1 describing how confident the model is for this label/class. |
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""" |
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raise NotImplementedError( |
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"Please implement PreTrainedPipeline __call__ function" |
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) |
