introduction_en.ipynb 1.9 KB
Notebook
Newer Older
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80
{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "eeb5731b",
   "metadata": {},
   "source": [
    "## Overview\n",
    "\n",
    "BioBERT model fine-tuned in NER task with JNLPBA and BC2GM corpus for genetic class entities.\n",
    "\n",
    "This was fine-tuned in order to use it in a BioNER/BioNEN system which is available at: https://github.com/librairy/bio-ner"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3501c0f5",
   "metadata": {},
   "source": [
    "## How to Use"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "da1caa55",
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install --upgrade paddlenlp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a8a173da",
   "metadata": {},
   "outputs": [],
   "source": [
    "import paddle\n",
    "from paddlenlp.transformers import AutoModel\n",
    "\n",
    "model = AutoModel.from_pretrained(\"alvaroalon2/biobert_genetic_ner\")\n",
    "input_ids = paddle.randint(100, 200, shape=[1, 20])\n",
    "print(model(input_ids))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0c74ebfe",
   "metadata": {},
   "source": [
    "## Reference\n",
    "\n",
    "> The model introduction and model weights originate from [https://huggingface.co/alvaroalon2/biobert_genetic_ner](https://huggingface.co/alvaroalon2/biobert_genetic_ner) and were converted to PaddlePaddle format for ease of use in PaddleNLP."
   ]
  }
 ],
 "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
}