diff --git a/langchain/embeddings/huggingface.py b/langchain/embeddings/huggingface.py
index cf59a300d4..a32aef6561 100644
--- a/langchain/embeddings/huggingface.py
+++ b/langchain/embeddings/huggingface.py
@@ -15,7 +15,8 @@ class HuggingFaceEmbeddings(BaseModel, Embeddings):
         .. code-block:: python
 
             from langchain.embeddings import HuggingFaceEmbeddings
-            huggingface = HuggingFaceEmbeddings(model_name="sentence-transformers/all-mpnet-base-v2")
+            model_name = "sentence-transformers/all-mpnet-base-v2"
+            huggingface = HuggingFaceEmbeddings(model_name=model_name)
     """
 
     client: Any  #: :meta private:
@@ -23,6 +24,7 @@ class HuggingFaceEmbeddings(BaseModel, Embeddings):
     """Model name to use."""
 
     def __init__(self, **kwargs: Any):
+        """Initialize the sentence_transformer."""
         super().__init__(**kwargs)
         try:
             import sentence_transformers
@@ -40,7 +42,7 @@ class HuggingFaceEmbeddings(BaseModel, Embeddings):
         extra = Extra.forbid
 
     def embed_documents(self, texts: List[str]) -> List[List[float]]:
-        """Computes doc embeddings using a HuggingFace transformer model
+        """Compute doc embeddings using a HuggingFace transformer model.
 
         Args:
             texts: The list of texts to embed.
@@ -53,7 +55,7 @@ class HuggingFaceEmbeddings(BaseModel, Embeddings):
         return embeddings
 
     def embed_query(self, text: str) -> List[float]:
-        """Computes query embeddings using a HuggingFace transformer model
+        """Compute query embeddings using a HuggingFace transformer model.
 
         Args:
             text: The text to embed.