The answer
Integer IDs provide compact, consistent indices for selecting embeddings and identifying output vocabulary items. They connect text units with the model’s numerical components efficiently.
Why do token IDs not contain the meanings of words?
Why use integer IDs at all if they do not store meaning?
More FAQs in Why do token IDs not contain the meanings of words?
No. Vocabulary indices do not form a semantic scale. Similarity calculations require suitable representations, such as embeddings trained for the relationship you want to measure.
Changing only the input ID can select a different token. A complete, consistent remapping of vocabulary and model lookup structures is a different operation.
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