feat(embeddings): fix invalid nested array when allocating the embedding responses

handler.py

@@ -56,7 +56,7 @@ class SentenceTransformerHandler(Handler):
                 tokens = self._model.tokenize(request.input)
                 vectors = self._model.encode(request.input)
 
-                embeddings = [[None] * len(request)]
+                embeddings = [None] * len(request)
                 if not request.is_batched:
                     embeddings[0] = Embedding(index=0, embedding=vectors.tolist())
                 else: