Why DistilBertTokenizer and BertTokenizer are creating different number of features?? 
Hi, 

I tried working with DistilBertTokenizer and BertTokenizer  from transformers. And according to documentation DistilBertTokenizer was identical to the BertTokenizer . But while creating features for a particular Dataset it creates different number of examples. Why? I also tried using distilbert model with BertTokenizer but still it doesnot work.

could you please explain me this ?? or How can i get same number of features ??

