diff --git a/litellm/llms/ollama.py b/litellm/llms/ollama.py
index 5972d9e8c2..f4c06dbe64 100644
--- a/litellm/llms/ollama.py
+++ b/litellm/llms/ollama.py
@@ -417,3 +417,23 @@ async def ollama_aembeddings(
         "total_tokens": total_input_tokens,
     }
     return model_response
+
+def ollama_embeddings(
+    api_base: str,
+    model: str,
+    prompts: list,
+    optional_params=None,
+    logging_obj=None,
+    model_response=None,
+    encoding=None,
+):
+    return asyncio.run(
+        ollama_aembeddings(
+            api_base,
+            model,
+            prompts,
+            optional_params,
+            logging_obj,
+            model_response,
+            encoding)
+        )
diff --git a/litellm/main.py b/litellm/main.py
index 8717af5704..9aaf30f051 100644
--- a/litellm/main.py
+++ b/litellm/main.py
@@ -2946,16 +2946,16 @@ def embedding(
                     model=model,  # type: ignore
                     llm_provider="ollama",  # type: ignore
                 )
-            if aembedding:
-                response = ollama.ollama_aembeddings(
-                    api_base=api_base,
-                    model=model,
-                    prompts=input,
-                    encoding=encoding,
-                    logging_obj=logging,
-                    optional_params=optional_params,
-                    model_response=EmbeddingResponse(),
-                )
+            ollama_embeddings_fn = ollama.ollama_aembeddings if aembedding else ollama.ollama_embeddings
+            response = ollama_embeddings_fn(
+                api_base=api_base,
+                model=model,
+                prompts=input,
+                encoding=encoding,
+                logging_obj=logging,
+                optional_params=optional_params,
+                model_response=EmbeddingResponse(),
+            )
         elif custom_llm_provider == "sagemaker":
             response = sagemaker.embedding(
                 model=model,