colabs/AutoTrain_ngrok.ipynb (52 lines of code) (raw):

{ "cells": [ { "cell_type": "code", "execution_count": null, "metadata": { "cellView": "form", "id": "II6F7ThkI10I" }, "outputs": [], "source": [ "#@title 🤗 AutoTrain\n", "#@markdown In order to use this colab\n", "#@markdown - Enter your [Hugging Face Write Token](https://huggingface.co/settings/tokens)\n", "#@markdown - Enter your [ngrok auth token](https://dashboard.ngrok.com/get-started/your-authtoken)\n", "huggingface_token = '' # @param {type:\"string\"}\n", "ngrok_token = \"\" # @param {type:\"string\"}\n", "\n", "#@markdown\n", "#@markdown - Attach appropriate accelerator `Runtime > Change runtime type > Hardware accelerator`\n", "#@markdown - click `Runtime > Run all`\n", "#@markdown - Follow the link to access the UI\n", "#@markdown - Training happens inside this Google Colab\n", "#@markdown - report issues / feature requests [here](https://github.com/huggingface/autotrain-advanced/issues)\n", "\n", "import os\n", "os.environ[\"HF_TOKEN\"] = str(huggingface_token)\n", "os.environ[\"NGROK_AUTH_TOKEN\"] = str(ngrok_token)\n", "os.environ[\"AUTOTRAIN_LOCAL\"] = \"1\"\n", "\n", "!pip install -U autotrain-advanced > install_logs.txt 2>&1\n", "!autotrain app --share" ] } ], "metadata": { "accelerator": "GPU", "colab": { "gpuType": "T4", "provenance": [] }, "kernelspec": { "display_name": "Python 3", "name": "python3" }, "language_info": { "name": "python" } }, "nbformat": 4, "nbformat_minor": 0 }