cannot access to pretrained vocab file on S3
Hi, thanks for develop well-made pytorch version of BERT.
Unfortunately, pretrained vocab files are not reachable.

error traceback is below.
> File "/usr/local/lib/python3.6/dist-packages/pytorch_pretrained_bert/tokenization.py", line 124, in from_pretrained
    resolved_vocab_file = cached_path(vocab_file)
  File "/usr/local/lib/python3.6/dist-packages/pytorch_pretrained_bert/file_utils.py", line 88, in cached_path
    return get_from_cache(url_or_filename, cache_dir)
  File "/usr/local/lib/python3.6/dist-packages/pytorch_pretrained_bert/file_utils.py", line 178, in get_from_cache
    .format(url, response.status_code))
OSError: HEAD request failed for url https://s3.amazonaws.com/models.huggingface.co/bert/bert-base-uncased-vocab.txt with status code 404
I have the same issue. 

> OSError: HEAD request failed for url https://s3.amazonaws.com/models.huggingface.co/bert/bert-base-chinese-vocab.txt with status code 404


It would be nice to be able to cache the vocab files as well as the model weights out of the box.<|||||>I found temporary solution for this issue.
`BertTokenizer.from_pretrained` method accepts local file instead of model_name
ex) `BertTokenizer.from_pretrained('/dir/to/vocab/bert-base-uncased-vocab.txt')`

vocab txt file can be downloaded from [google bert repo](https://github.com/google-research/bert#pre-trained-models).<|||||>The files are back. Sorry, wrong manipulation while adding the new models.<|||||>> I found temporary solution for this issue.
> `BertTokenizer.from_pretrained` method accepts local file instead of model_name
> ex) `BertTokenizer.from_pretrained('/dir/to/vocab/bert-base-uncased-vocab.txt')`
> 


Well, this solution doesn't seem to be working now, I get 

`OSError: Model name 'path/to/model/vocab.txt' was not found in tokenizers model name list (bart-/model/large, bart-large-mnli, bart-large-cnn, bart-large-xsum). We assumed 'path/to/model/vocab.txt' was a path, a model identifier, or url to a directory containing vocabulary files named ['vocab.json', 'merges.txt'] but couldn't find such vocabulary files at this path or url. `<|||||>> I found temporary solution for this issue.
> `BertTokenizer.from_pretrained` method accepts local file instead of model_name
> ex) `BertTokenizer.from_pretrained('/dir/to/vocab/bert-base-uncased-vocab.txt')`
> 
> vocab txt file can be downloaded from [google bert repo](https://github.com/google-research/bert#pre-trained-models).

Hi, I add this file, however I got another error:

*** json.decoder.JSONDecodeError: Expecting value: line 1 column 2 (char 1)

Any help please?