File size: 874 Bytes
5d3c45e |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 |
from typing import Dict, List, Any
class PreTrainedPipeline():
def __init__(self, path=""):
# IMPLEMENT_THIS
# Preload all the elements you are going to need at inference.
# For instance your model, processors, tokenizer that might be needed.
# This function is only called once, so do all the heavy processing I/O here"""
raise NotImplementedError(
"Please implement PreTrainedPipeline __init__ function"
)
def __call__(self, inputs: str) -> List[float]:
"""
Args:
inputs (:obj:`str`):
a string to get the features from.
Return:
A :obj:`list` of floats: The features computed by the model.
"""
# IMPLEMENT_THIS
raise NotImplementedError(
"Please implement PreTrainedPipeline __call__ function"
) |