paddlenlp.taskflow.poetry_generation 源代码

# coding:utf-8
# Copyright (c) 2021  PaddlePaddle Authors. All Rights Reserved.
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# Licensed under the Apache License, Version 2.0 (the "License"
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
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#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
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import glob
import json
import math
import os
import copy
import itertools

import numpy as np
from .utils import download_file
from .text_generation import TextGenerationTask
from .task import Task

usage = r"""
           from paddlenlp import Taskflow 

           poetry = Taskflow("poetry_generation")
           poetry("林密不见人")
           '''
           [{'text': '林密不见人', 'answer': ',但闻人语响。'}]
           '''

           poetry(["林密不见人", "举头邀明月"])
           '''
           [{'text': '林密不见人', 'answer': ',但闻人语响。'}, {'text': '举头邀明月', 'answer': ',低头思故乡。'}]
           '''
         """

URLS = {
    "gpt-cpm-large-cn": [
        "https://bj.bcebos.com/paddlenlp/taskflow/text_generation/gpt-cpm/gpt-cpm-large-cn_params.tar",
        "5aad6f81053cfdbba4797f044fcf66d1"
    ],
}


[文档]class PoetryGenerationTask(TextGenerationTask): """ The text generation model to predict the question or chinese poetry. Args: task(string): The name of task. model(string): The model name in the task. kwargs (dict, optional): Additional keyword arguments passed along to the specific task. """ def __init__(self, task, model, **kwargs): super().__init__(task=task, model=model, **kwargs)