diff --git a/docs/source/en/how_to_hack_models.md b/docs/source/en/how_to_hack_models.md
index 411539e104b..5e2aa8297bc 100644
--- a/docs/source/en/how_to_hack_models.md
+++ b/docs/source/en/how_to_hack_models.md
@@ -24,7 +24,37 @@ You'll learn how to:
 - Modify a model's architecture by changing its attention mechanism.
 - Apply techniques like Low-Rank Adaptation (LoRA) to specific model components.
 
-We encourage you to contribute your own hacks and share them here with the community1
+We encourage you to contribute your own hacks and share them here with the community!
+
+## Efficient Development Workflow
+
+When modifying model code, you'll often need to test your changes without restarting your Python session. The `clear_import_cache()` utility helps with this workflow, especially during model development and contribution when you need to frequently test and compare model outputs:
+
+```python
+from transformers import AutoModel
+model = AutoModel.from_pretrained("bert-base-uncased")
+
+# Make modifications to the transformers code...
+
+# Clear the cache to reload the modified code
+from transformers.utils.import_utils import clear_import_cache
+clear_import_cache()
+
+# Reimport to get the changes
+from transformers import AutoModel
+model = AutoModel.from_pretrained("bert-base-uncased")  # Will use updated code
+```
+
+This is particularly useful when:
+- Iteratively modifying model architectures
+- Debugging model implementations 
+- Testing changes during model development
+- Comparing outputs between original and modified versions
+- Working on model contributions
+
+The `clear_import_cache()` function removes all cached Transformers modules and allows Python to reload the modified code. This enables rapid development cycles without constantly restarting your environment.
+
+This workflow is especially valuable when implementing new models, where you need to frequently compare outputs between the original implementation and your Transformers version (as described in the [Add New Model](https://huggingface.co/docs/transformers/add_new_model) guide).
 
 ## Example: Modifying the Attention Mechanism in the Segment Anything Model (SAM)
 
diff --git a/src/transformers/utils/import_utils.py b/src/transformers/utils/import_utils.py
index 5a6dd937519..41065a5d11c 100755
--- a/src/transformers/utils/import_utils.py
+++ b/src/transformers/utils/import_utils.py
@@ -2271,3 +2271,28 @@ def define_import_structure(module_path: str) -> IMPORT_STRUCTURE_T:
     """
     import_structure = create_import_structure_from_path(module_path)
     return spread_import_structure(import_structure)
+
+
+def clear_import_cache():
+    """
+    Clear cached Transformers modules to allow reloading modified code.
+
+    This is useful when actively developing/modifying Transformers code.
+    """
+    # Get all transformers modules
+    transformers_modules = [mod_name for mod_name in sys.modules if mod_name.startswith("transformers.")]
+
+    # Remove them from sys.modules
+    for mod_name in transformers_modules:
+        module = sys.modules[mod_name]
+        # Clear _LazyModule caches if applicable
+        if isinstance(module, _LazyModule):
+            module._objects = {}  # Clear cached objects
+        del sys.modules[mod_name]
+
+    # Force reload main transformers module
+    if "transformers" in sys.modules:
+        main_module = sys.modules["transformers"]
+        if isinstance(main_module, _LazyModule):
+            main_module._objects = {}  # Clear cached objects
+        importlib.reload(main_module)
diff --git a/tests/utils/test_import_utils.py b/tests/utils/test_import_utils.py
new file mode 100644
index 00000000000..3d846174aca
--- /dev/null
+++ b/tests/utils/test_import_utils.py
@@ -0,0 +1,23 @@
+import sys
+
+from transformers.utils.import_utils import clear_import_cache
+
+
+def test_clear_import_cache():
+    # Import some transformers modules
+
+    # Get initial module count
+    initial_modules = {name: mod for name, mod in sys.modules.items() if name.startswith("transformers.")}
+
+    # Verify we have some modules loaded
+    assert len(initial_modules) > 0
+
+    # Clear cache
+    clear_import_cache()
+
+    # Check modules were removed
+    remaining_modules = {name: mod for name, mod in sys.modules.items() if name.startswith("transformers.")}
+    assert len(remaining_modules) < len(initial_modules)
+
+    # Verify we can reimport
+    assert "transformers.models.auto.modeling_auto" in sys.modules