Slightly update Sentence Transformers snippet

README.md

@@ -61,7 +61,11 @@ from sentence_transformers import SentenceTransformer
 import torch
 
 # Load the model, optionally in float16 precision for faster inference
-model = SentenceTransformer("BAAI/bge-code-v1", model_kwargs={"torch_dtype": torch.float16, "trust_remote_code": True}, tokenizer_kwargs={"trust_remote_code": True})
+model = SentenceTransformer(
+    "BAAI/bge-code-v1",
+    trust_remote_code=True,
+    model_kwargs={"torch_dtype": torch.float16},
+)
 
 # Prepare a prompt given an instruction
 instruction = 'Given a question in text, retrieve SQL queries that are appropriate responses to the question.'