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| { | |
| "nbformat": 4, | |
| "nbformat_minor": 0, | |
| "metadata": { | |
| "colab": { | |
| "provenance": [] | |
| }, | |
| "kernelspec": { | |
| "name": "python3", | |
| "display_name": "Python 3" | |
| }, | |
| "language_info": { | |
| "name": "python" | |
| } | |
| }, | |
| "cells": [ | |
| { | |
| "cell_type": "code", | |
| "execution_count": 2, | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/" | |
| }, | |
| "id": "UN8qSkbRRJjw", | |
| "outputId": "dcda5fa4-6875-4ab8-eeae-a1f24d3d334d" | |
| }, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "name": "stdout", | |
| "text": [ | |
| "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n", | |
| "Collecting tokenizers\n", | |
| " Downloading tokenizers-0.13.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.8 MB)\n", | |
| "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.8/7.8 MB\u001b[0m \u001b[31m35.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", | |
| "\u001b[?25hInstalling collected packages: tokenizers\n", | |
| "Successfully installed tokenizers-0.13.3\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "%pip install tokenizers\n", | |
| "import tokenizers\n", | |
| "import string" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "source": [ | |
| "# Train\n", | |
| "training_text = f\"Training 🤗 tokenizers. (Your ABC: {' '.join(string.printable)})\"\n", | |
| "\n", | |
| "tokenizer = tokenizers.Tokenizer(tokenizers.models.BPE(\n", | |
| " end_of_word_suffix=\"<\"+\"/w>\",\n", | |
| " byte_fallback=True\n", | |
| "))\n", | |
| "tokenizer.pre_tokenizer = tokenizers.pre_tokenizers.WhitespaceSplit()\n", | |
| "tokenizer.decoder = tokenizers.decoders.Sequence(\n", | |
| " [\n", | |
| " tokenizers.decoders.ByteFallback(),\n", | |
| " tokenizers.decoders.BPEDecoder(suffix=tokenizer.model.end_of_word_suffix),\n", | |
| " ]\n", | |
| ")\n", | |
| "tokenizer.train_from_iterator(\n", | |
| " [training_text],\n", | |
| " tokenizers.trainers.BpeTrainer(\n", | |
| " vocab_size=4096,\n", | |
| " limit_alphabet=1024,\n", | |
| " special_tokens=[f\"<0x{i:02X}>\" for i in range(256)],\n", | |
| " end_of_word_suffix=tokenizer.model.end_of_word_suffix,\n", | |
| " ),\n", | |
| ")\n", | |
| "\n", | |
| "# Test\n", | |
| "test_text = \"Testing 🤗 tokenizers. Working 🤔?\"\n", | |
| "print(\" Original:\", test_text)\n", | |
| "encoding = tokenizer.encode(test_text)\n", | |
| "print(\"\\n Tokens:\", encoding.tokens)\n", | |
| "print(\"\\nReconstructed:\", tokenizer.decode(encoding.ids, skip_special_tokens=False))" | |
| ], | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/" | |
| }, | |
| "id": "pPyOdmSpRTeR", | |
| "outputId": "e89f01dc-9092-48c7-e2d9-85577511355c" | |
| }, | |
| "execution_count": 34, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "name": "stdout", | |
| "text": [ | |
| " Original: Testing 🤗 tokenizers. Working 🤔?\n", | |
| "\n", | |
| " Tokens: ['T', 'e', 's', 't', 'ing</w>', '🤗</w>', 'tokenizers.</w>', 'W', 'o', 'r', 'k', 'ing</w>', '<0xF0>', '<0x9F>', '<0xA4>', '<0x94>', '?</w>']\n", | |
| "\n", | |
| "Reconstructed: Testing 🤗 tokenizers. Working 🤔?\n" | |
| ] | |
| } | |
| ] | |
| } | |
| ] | |
| } |
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