Add TransCheX Tutorial

Signed-off-by: ahatamizadeh <ahatamizadeh@nvidia.com>

Author: ahatamiz

multimodal/openi_multilabel_classification_transchex/Transchex_OpenI_multilabel_classification.ipynb

@@ -120,15 +120,12 @@
     }
    ],
    "source": [
-    "import numpy as np\n",
-    "\n",
     "import torch\n",
-    "from torch.utils.data import Dataset, DataLoader, RandomSampler, SequentialSampler\n",
-    "from transformers import BertTokenizer, BertModel, BertConfig\n",
-    "from sklearn.metrics.ranking import roc_auc_score\n",
+    "import numpy as np\n",
     "import pandas as pd\n",
     "from PIL import Image\n",
     "from torchvision import transforms\n",
+    "from sklearn.metrics.ranking import roc_auc_score\n",
     "\n",
     "from monai.optimizers.lr_scheduler import WarmupCosineSchedule\n",
     "from monai.networks.nets import Transchex\n",
@@ -169,6 +166,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "from torch.utils.data import Dataset, DataLoader\n",
+    "from transformers import BertTokenizer\n",
+    "\n",
     "class MultiModalDataset(Dataset):\n",
     "    def __init__(self, dataframe, tokenizer, parent_dir, max_seq_length=512):\n",
     "        self.max_seq_length = max_seq_length\n",
@@ -491,7 +491,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 11,
    "metadata": {
     "scrolled": true
    },