Padding token

As explained in Hugging Face in Action

A padding token is a special token inserted into shorter sequences so batched sequences have a uniform length.

How Hugging Face in Action covers it

How deep it goes

Explains insertion, visible token IDs, converted [PAD] tokens, and attention-mask indicators without descending into model internals.

Examples

Demonstrates trailing zero input IDs, converted [PAD] tokens, and matching zero values in an attention mask.

What it assumes

Assumes familiarity with tokenized datasets and token IDs while identifying padding and attention masks through concrete outputs.

What you can do after

Apply padding through Hugging Face AutoTokenizer and inspect its input IDs, tokens, and attention mask.

How it connects

Connects padding tokens with tokenization, input IDs, attention masks, BERT, and transformer models.

liveBookmanning.com

Read Hugging Face in Action on liveBook Get the book at manning.com

Also explained in

• 

  liveBookmanning.com
  Natural Language Processing in Action, Second EditionA padding token is a special token used to extend shorter sequences to a common length within a batch.
• 

  liveBookmanning.com
  Build a Text-to-Image Generator (from Scratch)A padding token is a special marker appended to shorter sequences so that sequences in a batch have equal length.
• 

  liveBookmanning.com
  Deep Learning with R, Third EditionA padding token is a placeholder token inserted to make sequences conform to a common length and carries no sequence content.

Compare how 4 books explain padding token →

Related concepts

• tokenkind of · A token is a discrete unit of text, such as a word, word fragment, character, or symbol, represented and processed as an element by a language model.
• batchingconfigures · Batching is the grouping of multiple data items, requests, or operations so they can be processed together as a unit.
• batch sizepart of · Batch size is the number of items grouped together for processing or computation as a single batch.
• attention_maskcontrasts with · An attention mask is a tensor or indicator structure specifying which sequence positions may participate in attention or other model computations, often excluding padding.
• Vectorization layerconfigured by · A Keras preprocessing layer that tokenizes text and converts it into numerical representations using a vocabulary and configurable encoding.
• paddingpart of · Padding is the addition of extra space, values, or data around or within a structure to satisfy size, alignment, layout, or processing requirements.

This explainer was generated by Manning's knowledge graph from the text of Hugging Face in Action. The section links point to the parts of the book it draws on.