{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "#### You can add new special tokens to pre-trained sentencepiece model\n", "#### Run this code in google/sentencepiece/python/" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Load pre-trained sentencepiece model\n", "Pre-trained model is needed" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "371391" ] }, "execution_count": 1, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import sentencepiece_model_pb2 as model\n", "m = model.ModelProto()\n", "m.ParseFromString(open(\"old.model\", \"rb\").read())" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Load tokens want to add\n", "Prepare the list of new tokens want to add" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['[UNK]',\n", " '[PAD]',\n", " '[CLS]',\n", " '[SEP]',\n", " '[MASK]',\n", " '[EOS]',\n", " '[DOMAIN]',\n", " '[SLOT]',\n", " '[ACTION]']" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "special_tokens = open(\"special_tokens.txt\", \"r\").read().split(\"\\n\")\n", "special_tokens" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Add new tokens to sentencepiece model" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "for token in special_tokens:\n", " new_token = model.ModelProto().SentencePiece()\n", " new_token.piece = token\n", " new_token.score = 0\n", " m.pieces.append(new_token)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Save new sentencepiece model\n", "Load the new sentencepiece model to your NLP system" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "with open('new.model', 'wb') as f:\n", " f.write(m.SerializeToString())" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "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": "3.6.10" } }, "nbformat": 4, "nbformat_minor": 4 }