set warning level to info for special tokens have been added (hugging…

…face#32138)

fixes huggingface#7002

src/transformers/tokenization_utils_base.py

@@ -2506,7 +2506,7 @@ def _from_pretrained(
             )
 
         if added_tokens_decoder != {} and max(list(added_tokens_decoder.keys())[-1], 0) > tokenizer.vocab_size:
-            logger.warning_advice(
+            logger.info(
                 "Special tokens have been added in the vocabulary, make sure the associated word embeddings are"
                 " fine-tuned or trained."
             )