community[patch]: fix huggingface pydantic 2 init (#26286)

libs/community/langchain_community/embeddings/huggingface.py

@@ -44,7 +44,7 @@ class HuggingFaceEmbeddings(BaseModel, Embeddings):
             )
     """
 
-    client: Any  #: :meta private:
+    client: Any = None  #: :meta private:
     model_name: str = DEFAULT_MODEL_NAME
     """Model name to use."""
     cache_folder: Optional[str] = None
@@ -151,7 +151,7 @@ class HuggingFaceInstructEmbeddings(BaseModel, Embeddings):
             )
     """
 
-    client: Any  #: :meta private:
+    client: Any = None  #: :meta private:
     model_name: str = DEFAULT_INSTRUCT_MODEL
     """Model name to use."""
     cache_folder: Optional[str] = None
@@ -283,7 +283,7 @@ class HuggingFaceBgeEmbeddings(BaseModel, Embeddings):
             )
     """
 
-    client: Any  #: :meta private:
+    client: Any = None  #: :meta private:
     model_name: str = DEFAULT_BGE_MODEL
     """Model name to use."""
     cache_folder: Optional[str] = None

libs/community/langchain_community/embeddings/huggingface_hub.py

@@ -35,8 +35,8 @@ class HuggingFaceHubEmbeddings(BaseModel, Embeddings):
             )
     """
 
-    client: Any  #: :meta private:
-    async_client: Any  #: :meta private:
+    client: Any = None  #: :meta private:
+    async_client: Any = None  #: :meta private:
     model: Optional[str] = None
     """Model name to use."""
     repo_id: Optional[str] = None

libs/community/langchain_community/llms/huggingface_endpoint.py

@@ -120,8 +120,8 @@ class HuggingFaceEndpoint(LLM):
     model_kwargs: Dict[str, Any] = Field(default_factory=dict)
     """Holds any model parameters valid for `call` not explicitly specified"""
     model: str
-    client: Any
-    async_client: Any
+    client: Any = None
+    async_client: Any = None
     task: Optional[str] = None
     """Task to call the model with.
     Should be a task that returns `generated_text` or `summary_text`."""

libs/community/langchain_community/llms/huggingface_hub.py

@@ -43,7 +43,7 @@ class HuggingFaceHub(LLM):
             hf = HuggingFaceHub(repo_id="gpt2", huggingfacehub_api_token="my-api-key")
     """
 
-    client: Any  #: :meta private:
+    client: Any = None  #: :meta private:
     repo_id: Optional[str] = None
     """Model name to use. 
     If not provided, the default model for the chosen task will be used."""

libs/partners/huggingface/langchain_huggingface/embeddings/huggingface_endpoint.py

@@ -30,8 +30,8 @@ class HuggingFaceEndpointEmbeddings(BaseModel, Embeddings):
             )
     """
 
-    client: Any = None
-    async_client: Any = None
+    client: Any = None  #: :meta private:
+    async_client: Any = None  #: :meta private:
     model: Optional[str] = None
     """Model name to use."""
     repo_id: Optional[str] = None