【发布时间】:2021-02-18 11:52:01
【问题描述】:
我正在尝试使用来自转换器的管道来总结文本。但我能得到的只是原始文本的截断文本。 我的代码是:
from transformers import pipeline
summarizer = pipeline("summarization")
summarizer("The present invention discloses a pharmaceutical composition comprising therapeutically effective amount of, or an extract consisting essentially therapeutically effective amount of at least one cannabinoid selected from the group consisting of: Cannabidiol (CBD) or a derivative thereof, Tetrahydrocannabinol (THC) or a derivative thereof, and any combination thereof, for use in the treatment of multiple myeloma (MM). The present invention further discloses methods and uses of the aforementioned composition.",
min_length=5, max_length=10)
输出是
[{'summary_text': ' The present invention discloses a pharmaceutical'}]
这只是用于分析的文本的开始。我做错了什么?
【问题讨论】:
-
没什么,这只是你的模型得出的结论。你必须尝试不同的模型和参数才能找到适合你的语料库的东西。
标签: python pipeline huggingface-transformers transformer