Train custom tokenizers for your text models.
Guides tokenizer training and text encoding so NLP projects can use custom vocabularies and track tokens back to their source text.
When to use it
Use for fast tokenization, custom tokenizer training, alignment tracking, or processing large text corpora.
It changes how the agent implements tokenizer training, text encoding, and tokenizer integration in an NLP project.
What you provide
The supplied implementation examples use Python and its tokenizers bindings.
The guide centers on the tokenizers library and shows how to install it.
This skill
HuggingFace Hub
Downloads a pretrained tokenizer
tokenizers
Installs the tokenizers package