import paddle
from paddlenlp.transformers import BertModel, BertTokenizer

model = BertModel.from_pretrained('bert-base-chinese')
tokenizer = BertTokenizer.from_pretrained('bert-base-chinese')

tokens = tokenizer.encode('我是谁')
ids = tokens['input_ids']

x = paddle.to_tensor(ids, dtype='int64').unsqueeze(0)

outs = model(x)
print(outs[0])