6大核心模块(Modules)
示例(Examples)
TikTok

LangChain

tiktoken (OpenAI) 长度函数#

您还可以使用tiktoken,这是OpenAI的一个开源分词器包,以估计使用的令牌。对于他们的模型可能更准确。

  • 文本如何拆分:通过传入的字符

  • 块大小如何测量:通过tiktoken分词器

# This is a long document we can split up.
with open('../../../state_of_the_union.txt') as f:
    state_of_the_union = f.read()
from langchain.text_splitter import CharacterTextSplitter
 
text_splitter = CharacterTextSplitter.from_tiktoken_encoder(chunk_size=100, chunk_overlap=0)
texts = text_splitter.split_text(state_of_the_union)
 
print(texts[0])
 
Madam Speaker, Madam Vice President, our First Lady and Second Gentleman. Members of Congress and the Cabinet. Justices of the Supreme Court. My fellow Americans.  
 
Last year COVID-19 kept us apart. This year we are finally together again. 
 
Tonight, we meet as Democrats Republicans and Independents. But most importantly as Americans. 
 
With a duty to one another to the American people to the Constitution.