IDEA-CCNL
/

Randeng-T5-Char-57M-Chinese

Text2Text Generation

Inference Endpoints

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roygan commited on Oct 25, 2022

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@@ -43,8 +43,8 @@ Compared with T5-samll, we implement its Chinese version. In order to use for ch
 from transformers import T5ForConditionalGeneration, BertTokenizer
 import torch
-tokenizer=BertTokenizer.from_pretrained('IDEA-CCNL/Randeng-T5-Char-700M-Chinese', add_special_tokens=False)
-model=T5ForConditionalGeneration.from_pretrained('IDEA-CCNL/Randeng-T5-Char-700M-Chinese')
 ```
 ## 引用 Citation

 from transformers import T5ForConditionalGeneration, BertTokenizer
 import torch
+tokenizer=BertTokenizer.from_pretrained('IDEA-CCNL/Randeng-T5-Char-57M-Chinese', add_special_tokens=False)
+model=T5ForConditionalGeneration.from_pretrained('IDEA-CCNL/Randeng-T5-Char-57M-Chinese')
 ```
 ## 引用 Citation