Multilang_identification.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "view-in-github"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/kayodeolaleye/multilang-identification/blob/main/Multilang_identification.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "attachments": {},
      "cell_type": "markdown",
      "metadata": {
        "id": "Tdr0Xq1epOOc"
      },
      "source": [
        "<!-- Install the necessary packages: -->"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "K6BZfOK1htR5"
      },
      "outputs": [],
      "source": [
        "# !pip install -q datasets \n",
        "# !pip install -q transformers\n",
        "# !pip install wget"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "2Dsy_0WIhvIo"
      },
      "outputs": [],
      "source": [
        "# import torch\n",
        "# import numpy as np"
      ]
    },
    {
      "attachments": {},
      "cell_type": "markdown",
      "metadata": {
        "id": "8xb2f-21nn2Q"
      },
      "source": [
        "<!-- Download pretrained weights for the LID model -->"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Nv6AS1ZtkRr8"
      },
      "outputs": [],
      "source": [
        "\n",
        "# model = torch.load(filename)"
      ]
    }
  ],
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "include_colab_link": true,
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "name": "python",
      "version": "3.8.10 (default, Sep 28 2021, 16:10:42) \n[GCC 9.3.0]"
    },
    "vscode": {
      "interpreter": {
        "hash": "916dbcbb3f70747c44a77c7bcd40155683ae19c65e1c03b4aa3499c5328201f1"
      }
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}