Update README.

README.md

@@ -12,11 +12,36 @@ datasets:
 metrics:
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-# CKIP ALBERT Base Chinese — Named-Entity Recognition
+# CKIP ALBERT Base Chinese
+
+This project provides traditional Chinese transformers models (including ALBERT, BERT, GPT2) and NLP tools (including word segmentation, part-of-speech tagging, named entity recognition).
+
+這個專案提供了繁體中文的 transformers 模型（包含 ALBERT、BERT、GPT2）及自然語言處理工具（包含斷詞、詞性標記、實體辨識）。
+
+## Homepage
+
+* https://github.com/ckiplab/ckip-transformers
 
 ## Contributers
 
 * [Mu Yang](https://muyang.pro) at [CKIP](https://ckip.iis.sinica.edu.tw) (Author & Maintainer)
 
-## Attention
-Please Use `BertTokenizer` instead of `AutoTokenizer`!!!
+## Usage
+
+Please use BertTokenizerFast as tokenizer instead of AutoTokenizer.
+
+請使用 BertTokenizerFast 而非 AutoTokenizer。
+
+```
+from transformers import (
+  BertTokenizerFast,
+  AutoModelForTokenClassification,
+)
+
+tokenizer = BertTokenizerFast.from_pretrained('bert-base-chinese')
+model = AutoModelForTokenClassification.from_pretrained('ckiplab/albert-base-chinese-ner')
+```
+
+For full usage and more information, please refer to https://github.com/ckiplab/ckip-transformers.
+
+有關完整使用方法及其他資訊，請參見 https://github.com/ckiplab/ckip-transformers 。