Visualizing Byte-Pair encoding Tokenization process in LLM | HuggingFace | Python
In this video, we dive deep into Byte-Pair Encoding (BPE) - the popular tokenization algorithm powering some of the most famous Large Language Models today. Instead of just looking at the theory, we are going to actually visualize the tokenization process step-by-step using a custom Python library I built called “hf-tokenizer-visualizer”.
By the end of this tutorial, you'll understand how character pairs are merged into new token IDs based on their frequency and how to generate beautiful node-graph visualizations of this exact merging process.
What is hf-tokenizer-visualizer?
It's a Python library that visually maps out how the BPE tokenizer encodes your text. It generates a directed graph where nodes represent individual characters or tokens, and the edges show exactly how and when they merge.
Resources & Links:
1. GitHub Repository (Code):https://github.com/SauravP97/hf-token... 🤗
2. Package link: https://pypi.org/project/hf-tokenizer...
3. BPE Tokenization: https://huggingface.co/learn/llm-cour...
My Socials 🚀
🙋♂️ Linkedin: / saurav-prateek-7b2096140
☀️ Instagram: / saurav_prateek
⚡️ Book a 1:1 session with me for Interview Preparation and Career guidance, Mock Interviews and Resume Review on Topmate: https://topmate.io/saurav_prateek
On this page of the site you can watch the video online Visualizing Byte-Pair encoding Tokenization process in LLM | HuggingFace | Python with a duration of hours minute second in good quality, which was uploaded by the user Saurav Prateek 02 March 2026, share the link with friends and acquaintances, this video has already been watched 391 times on youtube and it was liked by 11 viewers. Enjoy your viewing!
