Add support for configurable embedding model (#1627)

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

mem0/embeddings/huggingface.py

@@ -1,11 +1,27 @@
-from mem0.embeddings.base import EmbeddingBase
+from typing import Optional
+
 from sentence_transformers import SentenceTransformer
 
+from mem0.configs.embeddings.base import BaseEmbedderConfig
+from mem0.embeddings.base import EmbeddingBase
+
 
 class HuggingFaceEmbedding(EmbeddingBase):
-    def __init__(self, model_name="multi-qa-MiniLM-L6-cos-v1"):
-        self.model = SentenceTransformer(model_name)
+    def __init__(self, config: Optional[BaseEmbedderConfig] = None):
+        super().__init__(config)
+        
+        if self.config.model is None:
+            self.config.model = "multi-qa-MiniLM-L6-cos-v1"
+  
+        self.model = SentenceTransformer(
+            self.config.model, 
+            **self.config.model_kwargs
+        )
 
+        if self.config.embedding_dims is None:
+            self.config.embedding_dims = self.model.get_sentence_embedding_dimension()
+
+    
     def embed(self, text):
         """
         Get the embedding for the given text using Hugging Face.