diff --git a/src/backend/langflow/components/embeddings/HuggingFaceEmbeddings.py b/src/backend/langflow/components/embeddings/HuggingFaceEmbeddings.py
index 4d8d73c4a..c3dc04ec8 100644
--- a/src/backend/langflow/components/embeddings/HuggingFaceEmbeddings.py
+++ b/src/backend/langflow/components/embeddings/HuggingFaceEmbeddings.py
@@ -1,7 +1,6 @@
 from langflow import CustomComponent
-from typing import Optional, Any, Dict
-from langflow.field_typing import Embeddings
-
+from typing import Optional, Dict
+from langchain_community.embeddings.huggingface import HuggingFaceEmbeddings
 
 class HuggingFaceEmbeddingsComponent(CustomComponent):
     display_name = "HuggingFaceEmbeddings"
@@ -13,9 +12,8 @@ class HuggingFaceEmbeddingsComponent(CustomComponent):
     def build_config(self):
         return {
             "cache_folder": {"display_name": "Cache Folder", "advanced": True},
-            "client": {"display_name": "Client", "advanced": True},
-            "encode_kwargs": {"display_name": "Encode Kwargs", "advanced": True},
-            "model_kwargs": {"display_name": "Model Kwargs", "advanced": True},
+            "encode_kwargs": {"display_name": "Encode Kwargs", "advanced": True,"field_type":"dict"},
+            "model_kwargs": {"display_name": "Model Kwargs","field_type":"dict", "advanced": True},
             "model_name": {"display_name": "Model Name"},
             "multi_process": {"display_name": "Multi Process", "advanced": True},
         }
@@ -23,15 +21,13 @@ class HuggingFaceEmbeddingsComponent(CustomComponent):
     def build(
         self,
         cache_folder: Optional[str] = None,
-        client: Optional[Any] = None,
         encode_kwargs: Optional[Dict] = None,
         model_kwargs: Optional[Dict] = None,
         model_name: str = "sentence-transformers/all-mpnet-base-v2",
         multi_process: bool = False,
-    ) -> Embeddings:
-        return Embeddings(
+    ) -> HuggingFaceEmbeddings:
+        return HuggingFaceEmbeddings(
             cache_folder=cache_folder,
-            client=client,
             encode_kwargs=encode_kwargs,
             model_kwargs=model_kwargs,
             model_name=model_name,