{ "cells": [ { "cell_type": "markdown", "id": "740c03d3", "metadata": {}, "source": [ "\n", " \"Open\n", "" ] }, { "cell_type": "markdown", "id": "6c5c8cc3", "metadata": {}, "source": [ "# Tokenization\n", "\n", "Tokenization is the process of splitting text into units that a language model can process. These units are called tokens, and they are not the same as words.\n", "\n", "**Suggested duration:** 30 minutes" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "Learning goals\n", "\n", "By the end of this notebook, you should be able to:\n", "\n", "- explain what tokenization is and why LLMs need it\n", "- relate tokens to cost, context length, and latency\n", "- distinguish common tokenization strategies at a high level\n", "- inspect how different kinds of text are split into tokens\n", "- recognize why tokenization affects multilingual and code-heavy workflows\n", "
" ] }, { "cell_type": "markdown", "id": "cbd108b4", "metadata": {}, "source": [ "
\n", "Table of Contents\n", "\n", "1. [What is tokenization?](#what-is-tokenization)\n", "2. [Why it matters](#why-it-matters)\n", "3. [Common tokenization strategies](#common-tokenization-strategies)\n", "4. [Tools and visualizations](#tools-and-visualizations)\n", "5. [Mini demos](#mini-demos)\n", "
" ] }, { "cell_type": "markdown", "id": "2b754cae", "metadata": {}, "source": [ "## What is tokenization? \n", "\n", "LLMs do not read raw text directly. They convert text into tokens first.\n", "\n", "A token may be:\n", "\n", "- a full word\n", "- part of a word\n", "- punctuation\n", "- whitespace patterns\n", "- pieces of code\n", "\n", "Because of this, 100 words is not always 100 tokens. English, Spanish, code, equations, and emoji can all tokenize differently." ] }, { "cell_type": "markdown", "id": "8996e187", "metadata": {}, "source": [ "## Why it matters \n", "\n", "Tokenization matters because it affects:\n", "\n", "- **cost**: many APIs charge per token\n", "- **context window usage**: long inputs may exceed model limits\n", "- **latency**: more tokens usually means slower responses\n", "- **multilingual performance**: some languages break into more pieces\n", "- **formatting quality**: code and tables can be token-heavy\n", "- **a simple approach to solve**:classification and recommendations problems" ] }, { "cell_type": "markdown", "id": "3fce372f", "metadata": {}, "source": [ "## Common tokenization strategies \n", "\n", "High-level families include:\n", "\n", "- **word-based tokenization**: simple but poor for unseen words\n", "- **subword tokenization**: breaks rare words into reusable pieces\n", "- **byte-level tokenization**: robust across many scripts and symbols\n", "\n", "Modern LLMs often rely on subword or byte-level approaches because they balance vocabulary size and coverage." ] }, { "cell_type": "markdown", "id": "1fb7e385", "metadata": {}, "source": [ "## Tools and visualizations \n", "\n", "\n", "- [https://projector.tensorflow.org/](https://projector.tensorflow.org/)\n", "- [https://tokenization-visualization.netlify.app/](https://tokenization-visualization.netlify.app/)\n", "- [HF Playground](https://huggingface.co/spaces/Xenova/the-tokenizer-playground)\n", "\n" ] }, { "cell_type": "code", "execution_count": 2, "id": "4d174bd2", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "/Users/isaac/Projects/AppOC/.venv/lib/python3.12/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", " from .autonotebook import tqdm as notebook_tqdm\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Original text: Ocean temperature anomalies in 2025 were higher than expected.\n", "\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Model: bert-base-uncased\n", "Tokens: ['ocean', 'temperature', 'an', '##oma', '##lies', 'in', '202', '##5', 'were', 'higher', 'than', 'expected', '.']\n", "Token IDs: [4153, 4860, 2019, 9626, 11983, 1999, 16798, 2629, 2020, 3020, 2084, 3517, 1012]\n", "Count: 13\n", "----------------------------------------------------------------------\n", "Model: roberta-base\n", "Tokens: ['Ocean', 'Ġtemperature', 'Ġanomalies', 'Ġin', 'Ġ2025', 'Ġwere', 'Ġhigher', 'Ġthan', 'Ġexpected', '.']\n", "Token IDs: [41496, 5181, 36071, 11, 10380, 58, 723, 87, 421, 4]\n", "Count: 10\n", "----------------------------------------------------------------------\n", "Model: gpt2\n", "Tokens: ['Ocean', 'Ġtemperature', 'Ġanomalies', 'Ġin', 'Ġ2025', 'Ġwere', 'Ġhigher', 'Ġthan', 'Ġexpected', '.']\n", "Token IDs: [46607, 5951, 35907, 287, 32190, 547, 2440, 621, 2938, 13]\n", "Count: 10\n", "----------------------------------------------------------------------\n", "Model: xlm-roberta-base\n", "Tokens: ['▁Ocean', '▁temperature', '▁anomali', 'es', '▁in', '▁2025', '▁were', '▁higher', '▁than', '▁expected', '.']\n", "Token IDs: [55609, 52768, 190312, 90, 23, 76924, 3542, 77546, 3501, 84751, 5]\n", "Count: 11\n", "----------------------------------------------------------------------\n" ] } ], "source": [ "from transformers import AutoTokenizer\n", "\n", "text = \"Ocean temperature anomalies in 2025 were higher than expected.\"\n", "\n", "# Compare how several pretrained tokenizers split the same text.\n", "model_names = [\n", " \"bert-base-uncased\",\n", " \"roberta-base\",\n", " \"gpt2\",\n", " \"xlm-roberta-base\",\n", "]\n", "\n", "print(\"Original text:\", text)\n", "print()\n", "\n", "for model_name in model_names:\n", " tokenizer = AutoTokenizer.from_pretrained(model_name)\n", " tokens = tokenizer.tokenize(text)\n", " token_ids = tokenizer.convert_tokens_to_ids(tokens)\n", "\n", " print(f\"Model: {model_name}\")\n", " print(\"Tokens:\", tokens)\n", " print(\"Token IDs:\", token_ids)\n", " print(\"Count:\", len(tokens))\n", " print(\"-\" * 70)" ] }, { "cell_type": "markdown", "id": "fe259e07", "metadata": {}, "source": [ "## Demo \n", "\n", "First, with 3 and, after 4 sentences!\n" ] }, { "cell_type": "code", "execution_count": 6, "id": "661e4c23", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Loading weights: 100%|██████████| 103/103 [00:00<00:00, 18415.67it/s]\n" ] }, { "data": { "image/png": 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", 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Explained variance ratio (PC1, PC2, PC3): [6.5944564e-01 3.4055436e-01 2.5364978e-14]\n" ] } ], "source": [ "import numpy as np\n", "import matplotlib.pyplot as plt\n", "\n", "from sklearn.decomposition import PCA\n", "from transformers import AutoModel, AutoTokenizer\n", "\n", "sentences = [\n", " \"Marine climatology shows persistent warm sea-surface temperature anomalies in the eastern Atlantic.\",\n", " \"Ocean heat content and salinity gradients indicate a stronger upper-layer stratification this season.\",\n", " \"Soil temperature over inland agricultural areas rises faster during dry spells and low moisture conditions.\",\n", " # \"The use of chemicals in food industry is a global issue in health.\"\n", "]\n", "labels = [\n", " \"Marine climate 1\",\n", " \"Marine climate 2\",\n", " \"Soil temperature\",\n", " # \"Chemicals in food\"\n", "]\n", "\n", "model_name = \"sentence-transformers/all-MiniLM-L6-v2\"\n", "tokenizer = AutoTokenizer.from_pretrained(model_name)\n", "model = AutoModel.from_pretrained(model_name)\n", "\n", "encoded = tokenizer(sentences, padding=True, truncation=True, return_tensors=\"pt\")\n", "with __import__(\"torch\").no_grad():\n", " outputs = model(**encoded)\n", "\n", "# Mean pooling with attention mask to get one embedding per sentence.\n", "attention_mask = encoded[\"attention_mask\"].unsqueeze(-1)\n", "masked = outputs.last_hidden_state * attention_mask\n", "sentence_embeddings = masked.sum(dim=1) / attention_mask.sum(dim=1)\n", "X = sentence_embeddings.detach().cpu().numpy()\n", "\n", "# If embedding dim is high, reduce first to 3 principal components.\n", "pca3 = PCA(n_components=3)\n", "X3 = pca3.fit_transform(X)\n", "\n", "# 2D projection (PC1 vs PC2)\n", "plt.figure(figsize=(8, 6))\n", "for i, label in enumerate(labels):\n", " plt.scatter(X3[i, 0], X3[i, 1], s=120)\n", " plt.text(X3[i, 0] + 0.01, X3[i, 1] + 0.01, label, fontsize=10)\n", "\n", "plt.title(\"Sentence Embeddings Projected to 2D (PC1 vs PC2)\")\n", "plt.xlabel(\"PC1\")\n", "plt.ylabel(\"PC2\")\n", "plt.grid(alpha=0.3)\n", "plt.show()\n", "\n", "# 3D projection (PC1, PC2, PC3)\n", "fig = plt.figure(figsize=(9, 7))\n", "ax = fig.add_subplot(111, projection=\"3d\")\n", "for i, label in enumerate(labels):\n", " ax.scatter(X3[i, 0], X3[i, 1], X3[i, 2], s=120)\n", " ax.text(X3[i, 0], X3[i, 1], X3[i, 2], label, fontsize=9)\n", "\n", "ax.set_title(\"Sentence Embeddings Projected to 3D (PC1, PC2, PC3)\")\n", "ax.set_xlabel(\"PC1\")\n", "ax.set_ylabel(\"PC2\")\n", "ax.set_zlabel(\"PC3\")\n", "plt.show()\n", "\n", "print(\"Explained variance ratio (PC1, PC2, PC3):\", pca3.explained_variance_ratio_)" ] }, { "cell_type": "markdown", "id": "72c20402", "metadata": {}, "source": [ "
\n", "Activity \n", "
" ] }, { "cell_type": "markdown", "id": "aeea0da9", "metadata": {}, "source": [ "Do the same with the following terms:" ] }, { "cell_type": "code", "execution_count": null, "id": "bcc46696", "metadata": {}, "outputs": [], "source": [ "\n", "\n", "examples = [\n", " \"chlorophyll\",\n", " \"Brandon Sanderson\",\n", " \"sea_surface_temperature\",\n", " \"flowers and plants in the field\",\n", " \"CO2\",\n", " \"The ways of kings\",\n", " \"Guerra de los Cien Años\"\n", "]\n", "\n" ] } ], "metadata": { "kernelspec": { "display_name": ".venv", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.12.13" } }, "nbformat": 4, "nbformat_minor": 5 }