Update README

README.md

@@ -13,6 +13,8 @@ This is a forked version of DistilBERT model pre-trained on 131 GB of Japanese w
 The teacher model is BERT-base that built in-house at LINE.
 The model was trained by [LINE Corporation](https://linecorp.com/).
 
+The difference from the [original repository](https://huggingface.co/line-corporation/line-distilbert-base-japanese) is the tokenizer code. In this repository, we updated it to work with `transformer>=4.34` after a [tokenizer refactoring](https://github.com/huggingface/transformers/pull/23909).
+
 ## For Japanese
 
 https://github.com/line/LINE-DistilBERT-Japanese/blob/main/README_ja.md is written in Japanese.
@@ -21,7 +23,8 @@ https://github.com/line/LINE-DistilBERT-Japanese/blob/main/README_ja.md is writt
 
 ```python
 from transformers import AutoTokenizer, AutoModel
-tokenizer = AutoTokenizer.from_pretrained("line-corporation/line-distilbert-base-japanese", trust_remote_code=True)
+tokenizer = AutoTokenizer.from_pretrained("liwii/line-distilbert-base-japanese-fork", trust_remote_code=True)
+# The model is the same as the original repository
 model = AutoModel.from_pretrained("line-corporation/line-distilbert-base-japanese")
 
 sentence = "LINE株式会社で[MASK]の研究・開発をしている。"