请使用'Bert'相关的分词器类和'Nezha'相关的模型类

NEZHA: Neural Contextualized Representation for Chinese Language Understanding 吴军秋，任晓哲，李晓光，黄文勇，廖毅，王亚声，林家树，江欣，陈晓和刘群。

可以在 here 找到原始检查点

例子使用

from transformers import BertTokenizer, NezhaModel
tokenizer = BertTokenizer.from_pretrained("sijunhe/nezha-base-wwm")
model = NezhaModel.from_pretrained("sijunhe/nezha-base-wwm")
text = "我爱北京天安门"
encoded_input = tokenizer(text, return_tensors='pt')
output = model(**encoded_input)