Add support for configurable embedding model (#1627)

Co-authored-by: Dev Khant <devkhant24@gmail.com>

mem0/embeddings/configs.py

@@ -9,13 +9,14 @@ class EmbedderConfig(BaseModel):
         default="openai",
     )
     config: Optional[dict] = Field(
-        description="Configuration for the specific embedding model", default=None
+        description="Configuration for the specific embedding model", 
+        default={}
     )
 
     @field_validator("config")
     def validate_config(cls, v, values):
         provider = values.data.get("provider")
-        if provider in ["openai", "ollama"]:
+        if provider in ["openai", "ollama", "huggingface", "azure_openai"]:
             return v
         else:
             raise ValueError(f"Unsupported embedding provider: {provider}")