transfomer预训练模型每次加载后结果不同

Question

在hugging face上下载了一个预训练的模型，但是我发现每次加载后输出的结果都不一样

text = '今天天气不好'
tokenizer=BertTokenizer.from_pretrained('bert-base-chinese')
logging.set_verbosity_error()

for i in range(3):
    with torch.no_grad():
        model=BertForSequenceClassification.from_pretrained('bert-base-chinese')
        model.eval()
        model.cuda(0)
        token = tokenizer.encode(text)
        output = model(torch.tensor([token]).cuda(0))
        print(torch.nn.functional.softmax(output.logits,dim=-1))