introduction_cn.ipynb

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   "metadata": {},
   "source": [
    "# bert-base-romanian-uncased-v1\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2f5259bd",
   "metadata": {},
   "source": [
    "The BERT **base**, **uncased** model for Romanian, trained on a 15GB corpus, version ![v1.0](https://img.shields.io/badge/v1.0-21%20Apr%202020-ff6666)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "408f4468",
   "metadata": {},
   "source": [
    "## How to use"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "acd14372",
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   "source": [
    "!pip install --upgrade paddlenlp"
   ]
  },
  {
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   "execution_count": null,
   "id": "cc5d539c",
   "metadata": {},
   "outputs": [],
   "source": [
    "import paddle\n",
    "from paddlenlp.transformers import AutoModel\n",
    "\n",
    "model = AutoModel.from_pretrained(\"dumitrescustefan/bert-base-romanian-uncased-v1\")\n",
    "input_ids = paddle.randint(100, 200, shape=[1, 20])\n",
    "print(model(input_ids))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "adbbab44",
   "metadata": {},
   "source": [
    "## Citation\n",
    "\n",
    "```\n",
    "@inproceedings{dumitrescu-etal-2020-birth,\n",
    "title = \"The birth of {R}omanian {BERT}\",\n",
    "author = \"Dumitrescu, Stefan  and\n",
    "Avram, Andrei-Marius  and\n",
    "Pyysalo, Sampo\",\n",
    "booktitle = \"Findings of the Association for Computational Linguistics: EMNLP 2020\",\n",
    "month = nov,\n",
    "year = \"2020\",\n",
    "address = \"Online\",\n",
    "publisher = \"Association for Computational Linguistics\",\n",
    "url = \"https://aclanthology.org/2020.findings-emnlp.387\",\n",
    "doi = \"10.18653/v1/2020.findings-emnlp.387\",\n",
    "pages = \"4324--4328\",\n",
    "}\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4276651e",
   "metadata": {},
   "source": [
    "#### Acknowledgements\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "84a91796",
   "metadata": {},
   "source": [
    "- We'd like to thank [Sampo Pyysalo](https://github.com/spyysalo) from TurkuNLP for helping us out with the compute needed to pretrain the v1.0 BERT models. He's awesome!\n",
    "> 此模型介绍及权重来源于[https://huggingface.co/dumitrescustefan/bert-base-romanian-uncased-v1](https://huggingface.co/dumitrescustefan/bert-base-romanian-uncased-v1)，并转换为飞桨模型格式。\n"
   ]
  }
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