decode converts numeric token representations back into text. It belongs to the tokenizer interface and complements encode, which turns text into token IDs for model input. section 9.8
A tokenizer processes text through normalization, pretokenization, a tokenization model, and postprocessing before exposing encode and decode operations. In a word-level setup, decode is obtained directly from the trained tokenizer. section 9.8
Binding decode after training a tokenizer
After training a WordLevel tokenizer on The Odyssey, assign decode = tokenizer.decode alongside encode = tokenizer.encode. The resulting functions support the tokenizer workflow used to prepare numerical training sequences.
