{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "## Installation" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Using PIP" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Simply use PIP to install malaya,\n", "\n", "```bash\n", "pip3 install malaya\n", "```\n", "\n", "It will automatically all dependencies except for PyTorch. So you can choose your own PyTorch CPU / GPU version.\n", "\n", "Make sure **PyTorch >= 1.10**." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Getting started" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/home/husein/dev/malaya/malaya/tokenizer.py:214: FutureWarning: Possible nested set at position 3397\n", " self.tok = re.compile(r'({})'.format('|'.join(pipeline)))\n", "/home/husein/dev/malaya/malaya/tokenizer.py:214: FutureWarning: Possible nested set at position 3927\n", " self.tok = re.compile(r'({})'.format('|'.join(pipeline)))\n" ] } ], "source": [ "import malaya" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "If no error or warning, you are good to go!" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Simple sentiment analysis" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.\n" ] } ], "source": [ "model = malaya.sentiment.huggingface()" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['neutral']" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "model.predict(['Dia ni dlm pemerhatian kita,,,bole dkatakn \"gertak kuat\",,,bhsa utra kta \"gempaq kuat\",'])" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "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": "3.8.10" }, "varInspector": { "cols": { "lenName": 16, "lenType": 16, "lenVar": 40 }, "kernels_config": { "python": { "delete_cmd_postfix": "", "delete_cmd_prefix": "del ", "library": "var_list.py", "varRefreshCmd": "print(var_dic_list())" }, "r": { "delete_cmd_postfix": ") ", "delete_cmd_prefix": "rm(", "library": "var_list.r", "varRefreshCmd": "cat(var_dic_list()) " } }, "types_to_exclude": [ "module", "function", "builtin_function_or_method", "instance", "_Feature" ], "window_display": false } }, "nbformat": 4, "nbformat_minor": 4 }