hassanblend1.4 / pipeline.py
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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):
"""
Args:
inputs (:obj:`str`):
a string containing some text
Return:
A :obj:`PIL.Image` with the raw image representation as PIL.
"""
# IMPLEMENT_THIS
raise NotImplementedError(
"Please implement PreTrainedPipeline __call__ function"
)