huggingface[patch]: bump deps and increment version to 0.1.0.dev1 (#26263)

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

@@ -26,7 +26,7 @@ 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
@@ -51,7 +51,6 @@ class HuggingFaceEmbeddings(BaseModel, Embeddings):
         super().__init__(**kwargs)
         try:
             import sentence_transformers  # type: ignore[import]
-
         except ImportError as exc:
             raise ImportError(
                 "Could not import sentence_transformers python package. "

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

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

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

@@ -115,8 +115,8 @@ 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  #: :meta private:
+    async_client: Any = None  #: :meta private:
     task: Optional[str] = None
     """Task to call the model with.
     Should be a task that returns `generated_text` or `summary_text`."""