diff --git a/ivy_tests/test_transpiler/translations/test_translations.py b/ivy_tests/test_transpiler/translations/test_translations.py
index 7a22adb734cd..f7428a594fd7 100644
--- a/ivy_tests/test_transpiler/translations/test_translations.py
+++ b/ivy_tests/test_transpiler/translations/test_translations.py
@@ -10,37 +10,15 @@
 import os
 
 
-def get_test_list():
-    # Add tests here
-    return [
-        "test_translate_torch_simple_transform",
-        "test_translate_torch_alexnet",
-        "test_translate_torch_unet",
-        "test_translate_RelaxedBernoulli",
-        "test_translate_torch_swin2sr",
-        "test_translate_torch_distilled_vit",
-        "test_translate_torch_cflow",
-        "test_translate_torch_glpdepth",
-        "test_translate_torch_lstm",
-        "test_translate_torch_inplace",
-    ]
-
-
 def get_target_list():
     # Add targets here
     return ["tensorflow", "jax"]
 
 
-@pytest.mark.parametrize("target", get_target_list())
-@pytest.mark.parametrize("test_name", get_test_list())
-def test_dispatcher(target, test_name):
-    # This function will dispatch to the appropriate test based on the name
-    globals()[test_name](target)
-
-
 # Note: Keep this test at the top of the file
 # to simulate that no transpilation has
 # taken place in the outputs directory
+@pytest.mark.parametrize("target", get_target_list())
 def test_translate_torch_simple_transform(target):
     ivy.set_backend(target)
     from ivy.transpiler.examples.SimpleModelNoConv.s2s_simplemodel import (
@@ -91,6 +69,7 @@ def test_translate_torch_simple_transform(target):
     assert np.allclose(out.detach().numpy(), ivy.to_numpy(cloned_out), atol=1e-2)
 
 
+@pytest.mark.parametrize("target", get_target_list())
 def test_translate_torch_alexnet(target):
     ivy.set_backend(target)
     from ivy.transpiler.examples.AlexNet.s2s_alexnet import AlexNet
@@ -138,6 +117,7 @@ def test_translate_torch_alexnet(target):
     assert np.allclose(out.detach().numpy(), ivy.to_numpy(cloned_out), atol=0.05)
 
 
+@pytest.mark.parametrize("target", get_target_list())
 def test_translate_torch_unet(target):
     ivy.set_backend(target)
     from ivy.transpiler.examples.UNet.s2s_unet import UNet
@@ -183,6 +163,7 @@ def test_translate_torch_unet(target):
     assert np.allclose(out.detach().numpy(), ivy.to_numpy(cloned_out), atol=1e-3)
 
 
+@pytest.mark.parametrize("target", get_target_list())
 def test_translate_RelaxedBernoulli(target):
     ivy.set_backend(target)
     from torch.distributions import RelaxedBernoulli
@@ -214,6 +195,7 @@ def test_translate_RelaxedBernoulli(target):
     assert np.allclose(pt_sample, translated_sample, atol=1e-3)
 
 
+@pytest.mark.parametrize("target", get_target_list())
 def test_translate_torch_swin2sr(target):
     ivy.set_backend(target)
     from ivy.transpiler.examples.Swin2SR.s2s_swin2sr import Swin2SR
@@ -302,6 +284,7 @@ def test_translate_torch_swin2sr(target):
 # to torch frontend Tensor class
 
 
+@pytest.mark.parametrize("target", get_target_list())
 def test_translate_torch_distilled_vit(target):
     ivy.set_backend(target)
     from ivy.transpiler.examples.DistilledVisionTransformer.s2s_distilledvit import (
@@ -390,6 +373,7 @@ def test_translate_torch_distilled_vit(target):
     assert np.allclose(out.detach().numpy(), ivy.to_numpy(cloned_out), atol=1e-3)
 
 
+@pytest.mark.parametrize("target", get_target_list())
 def test_translate_torch_cflow(target):
     ivy.set_backend(target)
     from ivy.transpiler.examples.CFLow.helpers import get_args
@@ -499,6 +483,7 @@ def test_translate_torch_cflow(target):
     # )
 
 
+@pytest.mark.parametrize("target", get_target_list())
 def test_translate_torch_glpdepth(target):
     ivy.set_backend(target)
     from ivy.transpiler.examples.GLPDepth.s2s_glpdepth import GLPDepth
@@ -549,6 +534,7 @@ def test_translate_torch_glpdepth(target):
 # in the translated model - though the test still passes
 
 
+@pytest.mark.parametrize("target", get_target_list())
 def test_translate_torch_lstm(target):
     ivy.set_backend(target)
 
@@ -577,6 +563,7 @@ def test_translate_torch_lstm(target):
     )
 
 
+@pytest.mark.parametrize("target", get_target_list())
 def test_translate_torch_inplace(target):
     def inplace_fn():
         M = torch.zeros(4, 16)
@@ -593,16 +580,3 @@ def inplace_fn():
     pt_logts = pt_out.detach().numpy()
     translated_logts = ivy.to_numpy(translated_out)
     assert np.allclose(pt_logts, translated_logts)
-
-
-if __name__ == "__main__":
-    # This allows us to run specific tests when called from command line
-    test_name = os.environ.get("TEST_NAME", "all")
-    target = os.environ.get("TARGET", "all")
-
-    if test_name != "all":
-        pytest.main([__file__, f"-k {test_name}"])
-    elif target != "all":
-        pytest.main([__file__, f"-k test_dispatcher and {target}"])
-    else:
-        pytest.main([__file__])