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IDEA-CCNL
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Erlangshen-TCBert-330M-Classification-Chinese

Fill-Mask
Transformers
PyTorch
Chinese
bert
classification
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@@ -44,7 +44,7 @@ Stay tuned.
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  from transformers import BertForMaskedLM, BertTokenizer
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  import torch
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  tokenizer=BertTokenizer.from_pretrained("IDEA-CCNL/Erlangshen-TCBert-330M-Classification-Chinese")
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- model=BertForMaskedLM.from_pretrained('IDEA-CCNL/Erlangshen-TCBert-330M-Classification-Chinese')
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  ```
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  如果您在您的工作中使用了我们的模型，可以引用我们的[网站](https://github.com/IDEA-CCNL/Fengshenbang-LM/):
 
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  from transformers import BertForMaskedLM, BertTokenizer
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  import torch
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  tokenizer=BertTokenizer.from_pretrained("IDEA-CCNL/Erlangshen-TCBert-330M-Classification-Chinese")
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+ model=BertForMaskedLM.from_pretrained("IDEA-CCNL/Erlangshen-TCBert-330M-Classification-Chinese")
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  ```
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  如果您在您的工作中使用了我们的模型，可以引用我们的[网站](https://github.com/IDEA-CCNL/Fengshenbang-LM/):