title: Bert-multilingual in pytorch
body: <p>I am using bert embedding for french text data. and I have problem with loading model and vocabulary.</p>
  
  <p>I used the following code for tokenization that works well, but to get the vocabulary, it gives me Chinese words!!</p>
  
  <pre class="lang-py prettyprint-override"><code>tokenizer = BertTokenizer.from_pretrained('bert-base-multilingual-cased')
  text = "La Banque Nationale du Canada fête cette année le 110e anniversaire de son bureau de Paris."
  marked_text = "[CLS] " + text + " [SEP]"
  tokenized_text = tokenizer.tokenize(marked_text)
  list(tokenizer.vocab.keys())[5000:5020]
  </code></pre>
  
  <p>I expected french words in vocabulary but i get chinese words, should i specify the language somewhere in the code?</p>