|
from typing import Dict, List |
|
import numpy as np |
|
import tensorflow as tf |
|
|
|
class PreTrainedPipeline(): |
|
def __init__(self, path=""): |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
pass |
|
|
|
def __call__(self, inputs: str) -> List[List[Dict[str, float]]]: |
|
""" |
|
Args: |
|
inputs (:obj:`str`): |
|
a string containing some text |
|
Return: |
|
A :obj:`list`:. The object returned should be a list of one list like [[{"label": 0.9939950108528137}]] containing : |
|
- "label": A string representing what the label/class is. There can be multiple labels. |
|
- "score": A score between 0 and 1 describing how confident the model is for this label/class. |
|
""" |
|
|
|
|
|
|
|
|
|
return [[{"label": inputs, "score":0.2}]] |
|
|