diff --git a/.github/workflows/demo.yml b/.github/workflows/demo.yml
index 6baac72f40..9a399628ee 100644
--- a/.github/workflows/demo.yml
+++ b/.github/workflows/demo.yml
@@ -45,5 +45,5 @@ jobs:
         run: |
           streamlit --version
           screen -dm streamlit run demo/app.py
-          sleep 5
-          curl http://localhost:8501
\ No newline at end of file
+          sleep 10
+          curl http://localhost:8501
diff --git a/.github/workflows/references.yml b/.github/workflows/references.yml
new file mode 100644
index 0000000000..f8be64a205
--- /dev/null
+++ b/.github/workflows/references.yml
@@ -0,0 +1,77 @@
+name: references
+
+on:
+  push:
+    branches: main
+  pull_request:
+    branches: main
+
+jobs:
+  test-classification-tf:
+    runs-on: ${{ matrix.os }}
+    strategy:
+      fail-fast: false
+      matrix:
+        os: [ubuntu-latest]
+        python: [3.8]
+    steps:
+      - uses: actions/checkout@v2
+      - name: Set up Python
+        uses: actions/setup-python@v1
+        with:
+          python-version: ${{ matrix.python }}
+          architecture: x64
+      - name: Cache python modules
+        uses: actions/cache@v2
+        with:
+          path: ~/.cache/pip
+          key: ${{ runner.os }}-pkg-deps-${{ matrix.python }}-${{ hashFiles('requirements.txt') }}-${{ hashFiles('references/requirements.txt') }}-${{ hashFiles('**/*.py') }}
+          restore-keys: |
+            ${{ runner.os }}-pkg-deps-${{ matrix.python }}-${{ hashFiles('requirements.txt') }}-${{ hashFiles('references/requirements.txt') }}-
+            ${{ runner.os }}-pkg-deps-${{ matrix.python }}-${{ hashFiles('requirements.txt') }}-
+            ${{ runner.os }}-pkg-deps-${{ matrix.python }}-
+            ${{ runner.os }}-pkg-deps-
+            ${{ runner.os }}-
+      - name: Install dependencies
+        run: |
+          python -m pip install --upgrade pip
+          pip install -e .[tf] --upgrade
+          pip install -r references/requirements.txt
+          sudo apt-get update && sudo apt-get install fonts-freefont-ttf -y
+      - name: Train for a short epoch
+        run: python references/classification/train_tensorflow.py mobilenet_v3_small -b 32 --val-samples 1 --train-samples 1 --epochs 1
+
+  test-classification-torch:
+    runs-on: ${{ matrix.os }}
+    strategy:
+      fail-fast: false
+      matrix:
+        os: [ubuntu-latest]
+        python: [3.8]
+    steps:
+      - uses: actions/checkout@v2
+      - name: Set up Python
+        uses: actions/setup-python@v1
+        with:
+          python-version: ${{ matrix.python }}
+          architecture: x64
+      - name: Cache python modules
+        uses: actions/cache@v2
+        with:
+          path: ~/.cache/pip
+          key: ${{ runner.os }}-pkg-deps-${{ matrix.python }}-${{ hashFiles('requirements-pt.txt') }}-${{ hashFiles('references/requirements.txt') }}-${{ hashFiles('**/*.py') }}
+          restore-keys: |
+            ${{ runner.os }}-pkg-deps-${{ matrix.python }}-${{ hashFiles('requirements-pt.txt') }}-${{ hashFiles('references/requirements.txt') }}-
+            ${{ runner.os }}-pkg-deps-${{ matrix.python }}-${{ hashFiles('requirements-pt.txt') }}-
+            ${{ runner.os }}-pkg-deps-${{ matrix.python }}-
+            ${{ runner.os }}-pkg-deps-
+            ${{ runner.os }}-
+      - name: Install dependencies
+        run: |
+          python -m pip install --upgrade pip
+          pip install -e .[torch] --upgrade
+          pip install -r references/requirements.txt
+          pip install contiguous-params
+          sudo apt-get update && sudo apt-get install fonts-freefont-ttf -y
+      - name: Train for a short epoch
+        run: python references/classification/train_pytorch.py mobilenet_v3_small -b 32 --val-samples 1 --train-samples 1 --epochs 1
diff --git a/references/classification/train_pytorch.py b/references/classification/train_pytorch.py
index 0c33793938..c265fc9e51 100644
--- a/references/classification/train_pytorch.py
+++ b/references/classification/train_pytorch.py
@@ -85,10 +85,10 @@ def main(args):
     st = time.time()
     val_set = CharacterGenerator(
         vocab=vocab,
-        num_samples=20 * len(vocab),
+        num_samples=args.val_samples * len(vocab),
         cache_samples=True,
         sample_transforms=T.Resize((args.input_size, args.input_size)),
-        font_family="FreeMono.ttf",
+        font_family=args.font,
     )
     val_loader = DataLoader(
         val_set,
@@ -123,7 +123,7 @@ def main(args):
     # Load train data generator
     train_set = CharacterGenerator(
         vocab=vocab,
-        num_samples=1000 * len(vocab),
+        num_samples=args.train_samples * len(vocab),
         cache_samples=True,
         sample_transforms=Compose([
             T.Resize((args.input_size, args.input_size)),
@@ -132,7 +132,7 @@ def main(args):
             T.RandomApply(T.ColorInversion(), .7),
             ColorJitter(brightness=0.3, contrast=0.3, saturation=0.3, hue=0.02),
         ]),
-        font_family="FreeMono.ttf",
+        font_family=args.font,
     )
 
     train_loader = DataLoader(
@@ -224,6 +224,21 @@ def parse_args():
     parser.add_argument('--wd', '--weight-decay', default=0, type=float, help='weight decay', dest='weight_decay')
     parser.add_argument('-j', '--workers', type=int, default=None, help='number of workers used for dataloading')
     parser.add_argument('--resume', type=str, default=None, help='Path to your checkpoint')
+    parser.add_argument('--font', type=str, default="FreeMono.ttf", help='Font family to be used')
+    parser.add_argument(
+        '--train-samples',
+        dest='train_samples',
+        type=int,
+        default=1000,
+        help='Multiplied by the vocab length gets you the number of training samples that will be used.'
+    )
+    parser.add_argument(
+        '--val-samples',
+        dest='val_samples',
+        type=int,
+        default=20,
+        help='Multiplied by the vocab length gets you the number of validation samples that will be used.'
+    )
     parser.add_argument("--test-only", dest='test_only', action='store_true', help="Run the validation loop")
     parser.add_argument('--show-samples', dest='show_samples', action='store_true',
                         help='Display unormalized training samples')
diff --git a/references/classification/train_tensorflow.py b/references/classification/train_tensorflow.py
index c52847c953..10148da4c2 100644
--- a/references/classification/train_tensorflow.py
+++ b/references/classification/train_tensorflow.py
@@ -81,10 +81,10 @@ def main(args):
     st = time.time()
     val_set = CharacterGenerator(
         vocab=vocab,
-        num_samples=20 * len(vocab),
+        num_samples=args.val_samples * len(vocab),
         cache_samples=True,
         sample_transforms=T.Resize((args.input_size, args.input_size)),
-        font_family="FreeMono.ttf",
+        font_family=args.font,
     )
     val_loader = DataLoader(
         val_set,
@@ -123,7 +123,7 @@ def main(args):
     # Load train data generator
     train_set = CharacterGenerator(
         vocab=vocab,
-        num_samples=1000 * len(vocab),
+        num_samples=args.train_samples * len(vocab),
         cache_samples=True,
         sample_transforms=T.Compose([
             T.Resize((args.input_size, args.input_size)),
@@ -134,7 +134,7 @@ def main(args):
             T.RandomContrast(.3),
             T.RandomBrightness(.3),
         ]),
-        font_family="FreeMono.ttf",
+        font_family=args.font,
     )
     train_loader = DataLoader(
         train_set,
@@ -228,6 +228,21 @@ def parse_args():
     parser.add_argument('--lr', type=float, default=0.001, help='learning rate for the optimizer (Adam)')
     parser.add_argument('-j', '--workers', type=int, default=4, help='number of workers used for dataloading')
     parser.add_argument('--resume', type=str, default=None, help='Path to your checkpoint')
+    parser.add_argument('--font', type=str, default="FreeMono.ttf", help='Font family to be used')
+    parser.add_argument(
+        '--train-samples',
+        dest='train_samples',
+        type=int,
+        default=1000,
+        help='Multiplied by the vocab length gets you the number of training samples that will be used.'
+    )
+    parser.add_argument(
+        '--val-samples',
+        dest='val_samples',
+        type=int,
+        default=20,
+        help='Multiplied by the vocab length gets you the number of validation samples that will be used.'
+    )
     parser.add_argument("--test-only", dest='test_only', action='store_true', help="Run the validation loop")
     parser.add_argument('--show-samples', dest='show_samples', action='store_true',
                         help='Display unormalized training samples')