introduction_cn.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "e9075248",
   "metadata": {},
   "source": [
    "# 🤗 + 📚 dbmdz Turkish BERT model\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0f68224a",
   "metadata": {},
   "source": [
    "In this repository the MDZ Digital Library team (dbmdz) at the Bavarian State\n",
    "Library open sources a cased model for Turkish 🎉\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a800751f",
   "metadata": {},
   "source": [
    "# 🇹🇷 BERTurk\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0f418bcc",
   "metadata": {},
   "source": [
    "BERTurk is a community-driven cased BERT model for Turkish.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "059528cb",
   "metadata": {},
   "source": [
    "Some datasets used for pretraining and evaluation are contributed from the\n",
    "awesome Turkish NLP community, as well as the decision for the model name: BERTurk.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ec8d00db",
   "metadata": {},
   "source": [
    "## How to use"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1cb273ef",
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install --upgrade paddlenlp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "45fd943c",
   "metadata": {},
   "outputs": [],
   "source": [
    "import paddle\n",
    "from paddlenlp.transformers import AutoModel\n",
    "\n",
    "model = AutoModel.from_pretrained(\"dbmdz/bert-base-turkish-cased\")\n",
    "input_ids = paddle.randint(100, 200, shape=[1, 20])\n",
    "print(model(input_ids))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0653e10b",
   "metadata": {},
   "source": [
    "# Reference"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "14b8d869",
   "metadata": {},
   "source": [
    "\n",
    "\n",
    "> 此模型介绍及权重来源于[https://huggingface.co/dbmdz/bert-base-turkish-cased](https://huggingface.co/dbmdz/bert-base-turkish-cased)，并转换为飞桨模型格式。\n"
   ]
  }
 ],
 "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": "3.7.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}