diff --git a/melo/text/japanese.py b/melo/text/japanese.py
index 766cf96..ebbbd39 100644
--- a/melo/text/japanese.py
+++ b/melo/text/japanese.py
@@ -566,7 +566,7 @@ def distribute_phone(n_phone, n_word):
 
 # tokenizer = AutoTokenizer.from_pretrained('cl-tohoku/bert-base-japanese-v3')
 
-model_id = 'cl-tohoku/bert-base-japanese-v3'
+model_id = 'tohoku-nlp/bert-base-japanese-v3'
 tokenizer = AutoTokenizer.from_pretrained(model_id)
 def g2p(norm_text):
 
@@ -644,4 +644,4 @@ if __name__ == "__main__":
 #     conv = kakasi.getConverter()
 #     katakana_text = conv.do('ええ、僕はおきなと申します。こちらの小さいわらべは杏子。ご挨拶が遅れてしまいすみません。あなたの名は?')  # Replace with your Chinese text
 
-#     print(katakana_text)  # Output: ニーハオセカイ
\ No newline at end of file
+#     print(katakana_text)  # Output: ニーハオセカイ
diff --git a/melo/text/japanese_bert.py b/melo/text/japanese_bert.py
index b6b6eff..315fef2 100644
--- a/melo/text/japanese_bert.py
+++ b/melo/text/japanese_bert.py
@@ -3,13 +3,9 @@ from transformers import AutoTokenizer, AutoModelForMaskedLM
 import sys
 
 
-
-# model = None
-# model_id = 'cl-tohoku/bert-base-japanese-v3'
-# tokenizer = AutoTokenizer.from_pretrained(model_id)
 models = {}
 tokenizers = {}
-def get_bert_feature(text, word2ph, device=None, model_id='cl-tohoku/bert-base-japanese-v3'):
+def get_bert_feature(text, word2ph, device=None, model_id='tohoku-nlp/bert-base-japanese-v3'):
     global model
     global tokenizer