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找了个hf的镜像站,把config.json和pytorch_model.bin两个文件进行下载下来,模型文件uncased_L-12_H-768_A-12.zip下载下来先。
解压模型文件压缩包,把前面下载的两个文件也放进去,总共6个文件。这个文件夹就是代码
tokenizer = BertTokenizer.from_pretrained(BERT_PATH)
BERT_PATH这里对应的文件路径。
Some weights of BertForSequenceClassification were not initialized from the model checkpoint at bert-base-uncased and are newly initialized: ['classifier.bias', 'classifier.weight']
pip install tensorflow
- from transformers import BertModel, BertTokenizer
-
- model_name = 'bert-base-uncased'
- tokenizer = BertTokenizer.from_pretrained(model_name)
- model = BertModel.from_pretrained(model_name, from_tf=True)
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