Complete the code to import the TokenTextSplitter from langchain.text_splitter.
from langchain.text_splitter import [1]
The TokenTextSplitter class is used for splitting text based on tokens in Langchain.
Complete the code to create a TokenTextSplitter instance with chunk size 1000.
splitter = TokenTextSplitter(chunk_size=[1])The chunk_size parameter defines the maximum number of tokens per chunk. Here, 1000 tokens is a common chunk size.
Fix the error in the code to split text using the TokenTextSplitter instance.
chunks = splitter.[1](text)The correct method to split text into chunks is split_text in TokenTextSplitter.
Fill both blanks to create a TokenTextSplitter with chunk size 500 and chunk overlap 50.
splitter = TokenTextSplitter(chunk_size=[1], chunk_overlap=[2])
The chunk_size is set to 500 tokens, and chunk_overlap is set to 50 tokens to allow some overlap between chunks.
Fill all three blanks to create a TokenTextSplitter with chunk size 800, chunk overlap 100, and a custom encoding 'gpt2'.
splitter = TokenTextSplitter(chunk_size=[1], chunk_overlap=[2], encoding_name=[3])
This creates a TokenTextSplitter with 800 tokens per chunk, 100 tokens overlap, and uses the 'gpt2' encoding for tokenization.