如何利用HuggingFace文本摘要模型生成文本变更的高层级摘要？

新旧文本示例 #

旧版本文本：
(a) The provisions of this article apply to machinery of class 6.

新版本文本：
(a) The provisions of this article apply to machinery of class 6, unless one of the following exceptions apply: (i) the owner depends on the vehicle, (ii) the vehicle is newer than 2 years of age, (iii) the city council grants a special permission

已实现的字符串级对比代码 #

import difflib
differ = difflib.ndiff(old.splitlines(), new.splitlines())

summary = []

for line in differ:
    prefix = line[:2]
    if prefix == '  ':
        summary.append(line[2:])
    elif prefix == '- ':
        summary.append(f"Removed: {line[2:]}")
    elif prefix == '+ ':
        summary.append(f"Added: {line[2:]}")

需求说明 #

当前有数千份此类文本差异需要处理，希望生成类似diff_summary = "Adds exceptions, making article less restrictive"的高层级变更摘要，咨询如何借助HuggingFace系列文本摘要模型实现该需求。

内容的提问来源于stack exchange，提问作者user456789