{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "87e3266c",
   "metadata": {},
   "source": [
    "# Cross-Encoder for Quora Duplicate Questions Detection\n",
    "This model was trained using [SentenceTransformers](https://sbert.net) [Cross-Encoder](https://www.sbert.net/examples/applications/cross-encoder/README.html) class.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e743234a",
   "metadata": {},
   "source": [
    "## Training Data\n",
    "This model was trained on the [Quora Duplicate Questions](https://www.quora.com/q/quoradata/First-Quora-Dataset-Release-Question-Pairs) dataset. The model will predict a score between 0 and 1 how likely the two given questions are duplicates.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f755b608",
   "metadata": {},
   "source": [
    "Note: The model is not suitable to estimate the similarity of questions, e.g. the two questions \"How to learn Java\" and \"How to learn Python\" will result in a rahter low score, as these are not duplicates.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5a08f2c7",
   "metadata": {},
   "source": [
    "## Usage and Performance\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c4021393",
   "metadata": {},
   "source": [
    "Pre-trained models can be used like this:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5f704b5f",
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install --upgrade paddlenlp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "161c640b",
   "metadata": {},
   "outputs": [],
   "source": [
    "import paddle\n",
    "from paddlenlp.transformers import AutoModel\n",
    "\n",
    "model = AutoModel.from_pretrained(\"cross-encoder/quora-roberta-base\")\n",
    "input_ids = paddle.randint(100, 200, shape=[1, 20])\n",
    "print(model(input_ids))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "93a5e3b7",
   "metadata": {},
   "source": [
    "> 此模型介绍及权重来源于[https://huggingface.co/cross-encoder/quora-roberta-base](https://huggingface.co/cross-encoder/quora-roberta-base)，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
}