Tokenizers

Provides an implementation of today's most used tokenizers, with a focus on performance and versatility.

What is a Tokenizer

A Tokenizer works as a pipeline, it processes some raw text as input and outputs an Encoding. The various steps of the pipeline are:

1. The Normalizer: in charge of normalizing the text. Common examples of normalization are the unicode normalization standards, such as NFD or NFKC.
2. The PreTokenizer: in charge of creating initial words splits in the text. The most common way of splitting text is simply on whitespace.
3. The Model: in charge of doing the actual tokenization. An example of a Model would be BPE or WordPiece.
4. The PostProcessor: in charge of post-processing the Encoding to add anything relevant that, for example, a language model would need, such as special tokens.

Bindings

We provide bindings to the following languages (more to come!):

• Python