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README.md

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 # Randeng-T5-784M, one model of [Fengshenbang-LM](https://github.com/IDEA-CCNL/Fengshenbang-LM).
-Based on mt5-large, Randeng-T5-784M only retains the vocabulary and embedding corresponding to Chinese and English, and continues to train on the basis of 180G Chinese general pre-training corpus. The pretrain target is span corruption. We pretrain the model based on our [fengshen framework](https://github.com/IDEA-CCNL/Fengshenbang-LM/tree/main/fengshen), use 16 * A100 for 98 hours. 
+Based on mt5-large, Randeng-T5-784M only retains the vocabulary and embedding corresponding to Chinese and English, and continues to train on the basis of 180G Chinese general pre-training corpus. Because we continue pretraining on mt5-large, the tokenizer use T5tokenizer(sentencepiece). The pretrain target is span corruption. We pretrain the model based on our [fengshen framework](https://github.com/IDEA-CCNL/Fengshenbang-LM/tree/main/fengshen), use 16 * A100 for 98 hours. 
 ## Usage
 ```python
 from transformers import T5ForConditionalGeneration, AutoTokenizer