Issue of `bert_model` arg in `run_classify.py`
Hi,

I am trying to understand the `bert_model` arg in `run_classify.py`. In the file, I can see 
```
tokenizer = BertTokenizer.from_pretrained(args.bert_model)
```
where `bert_model` is expected to be the vocab text file of the model

However, I also see

```
model = BertForSequenceClassification.from_pretrained(args.bert_model, len(label_list))
```
where `bert_model` is expected to be a archive file containing the model checkpoint and config.

Please help to advice the correct use of `bert_model` if I have my pretrained model converted locally already.

Thanks!
Hi, please read [this section](https://github.com/huggingface/pytorch-pretrained-BERT#loading-google-ais-pre-trained-weigths-and-pytorch-dump) of the readme.