diff --git a/README.md b/README.md
index 96f2d5faa1..79202079e0 100644
--- a/README.md
+++ b/README.md
@@ -111,8 +111,8 @@ class MyDocument(BaseDoc):
     image_url: ImageUrl  # could also be VideoUrl, AudioUrl, etc.
     image_tensor: Optional[
         TorchTensor[1704, 2272, 3]
-    ]  # could also be NdArray or TensorflowTensor
-    embedding: Optional[TorchTensor]
+    ] = None  # could also be NdArray or TensorflowTensor
+    embedding: Optional[TorchTensor] = None
 ```
 
 So not only can you define the types of your data, you can even **specify the shape of your tensors!**
@@ -643,8 +643,8 @@ import tensorflow as tf
 
 
 class Podcast(BaseDoc):
-    audio_tensor: Optional[AudioTensorFlowTensor]
-    embedding: Optional[AudioTensorFlowTensor]
+    audio_tensor: Optional[AudioTensorFlowTensor] = None
+    embedding: Optional[AudioTensorFlowTensor] = None
 
 
 class MyPodcastModel(tf.keras.Model):
@@ -713,6 +713,7 @@ async def create_item(doc: InputDoc) -> OutputDoc:
     )
     return doc
 
+
 input_doc = InputDoc(text='', img=ImageDoc(tensor=np.random.random((3, 224, 224))))
 
 async with AsyncClient(app=app, base_url="http://test") as ac:
diff --git a/tests/documentation/test_docs.py b/tests/documentation/test_docs.py
index df1ae1a282..f5940a3acc 100644
--- a/tests/documentation/test_docs.py
+++ b/tests/documentation/test_docs.py
@@ -70,7 +70,6 @@ def test_files_good(fpath):
     check_md_file(fpath=fpath, memory=True, keyword_ignore=['pickle', 'jac'])
 
 
-@pytest.mark.skipif(is_pydantic_v2, reason="Not working with pydantic v2 for now")
 def test_readme():
     check_md_file(
         fpath='README.md',