{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#default_exp medical.text"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Medical Text\n",
    "\n",
    "> Medical NLP data and models"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`fastai.medical.text` is coming later!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#export \n",
    "from fastai2.basics import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#hide\n",
    "from nbdev.showdoc import *"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Export -"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Converted 00_torch_core.ipynb.\n",
      "Converted 01_layers.ipynb.\n",
      "Converted 02_data.load.ipynb.\n",
      "Converted 03_data.core.ipynb.\n",
      "Converted 04_data.external.ipynb.\n",
      "Converted 05_data.transforms.ipynb.\n",
      "Converted 06_data.block.ipynb.\n",
      "Converted 07_vision.core.ipynb.\n",
      "Converted 08_vision.data.ipynb.\n",
      "Converted 09_vision.augment.ipynb.\n",
      "Converted 09b_vision.utils.ipynb.\n",
      "Converted 09c_vision.widgets.ipynb.\n",
      "Converted 10_tutorial.pets.ipynb.\n",
      "Converted 11_vision.models.xresnet.ipynb.\n",
      "Converted 12_optimizer.ipynb.\n",
      "Converted 13_callback.core.ipynb.\n",
      "Converted 13a_learner.ipynb.\n",
      "Converted 13b_metrics.ipynb.\n",
      "Converted 14_callback.schedule.ipynb.\n",
      "Converted 14a_callback.data.ipynb.\n",
      "Converted 15_callback.hook.ipynb.\n",
      "Converted 15a_vision.models.unet.ipynb.\n",
      "Converted 16_callback.progress.ipynb.\n",
      "Converted 17_callback.tracker.ipynb.\n",
      "Converted 18_callback.fp16.ipynb.\n",
      "Converted 18a_callback.training.ipynb.\n",
      "Converted 19_callback.mixup.ipynb.\n",
      "Converted 20_interpret.ipynb.\n",
      "Converted 20a_distributed.ipynb.\n",
      "Converted 21_vision.learner.ipynb.\n",
      "Converted 22_tutorial.imagenette.ipynb.\n",
      "Converted 23_tutorial.vision.ipynb.\n",
      "Converted 24_tutorial.siamese.ipynb.\n",
      "Converted 24_vision.gan.ipynb.\n",
      "Converted 30_text.core.ipynb.\n",
      "Converted 31_text.data.ipynb.\n",
      "Converted 32_text.models.awdlstm.ipynb.\n",
      "Converted 33_text.models.core.ipynb.\n",
      "Converted 34_callback.rnn.ipynb.\n",
      "Converted 35_tutorial.wikitext.ipynb.\n",
      "Converted 36_text.models.qrnn.ipynb.\n",
      "Converted 37_text.learner.ipynb.\n",
      "Converted 38_tutorial.text.ipynb.\n",
      "Converted 39_tutorial.transformers.ipynb.\n",
      "Converted 40_tabular.core.ipynb.\n",
      "Converted 41_tabular.data.ipynb.\n",
      "Converted 42_tabular.model.ipynb.\n",
      "Converted 43_tabular.learner.ipynb.\n",
      "Converted 44_tutorial.tabular.ipynb.\n",
      "Converted 45_collab.ipynb.\n",
      "Converted 46_tutorial.collab.ipynb.\n",
      "Converted 50_tutorial.datablock.ipynb.\n",
      "Converted 60_medical.imaging.ipynb.\n",
      "Converted 61_tutorial.medical_imaging.ipynb.\n",
      "Converted 65_medical.text.ipynb.\n",
      "Converted 70_callback.wandb.ipynb.\n",
      "Converted 71_callback.tensorboard.ipynb.\n",
      "Converted 72_callback.neptune.ipynb.\n",
      "Converted 73_callback.captum.ipynb.\n",
      "Converted 74_callback.cutmix.ipynb.\n",
      "Converted 97_test_utils.ipynb.\n",
      "Converted 99_pytorch_doc.ipynb.\n",
      "Converted index.ipynb.\n",
      "Converted tutorial.ipynb.\n"
     ]
    }
   ],
   "source": [
    "#hide\n",
    "from nbdev.export import notebook2script\n",
    "notebook2script()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "jupytext": {
   "split_at_heading": true
  },
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}