Hi,
from transformers import BertTokenizer
tokenizer = BertTokenizer(‘bert-baser-uncased’)
#1 tokens = tokenizer(texts, padding=True, truncation=True)
#2 tokens = tokenizer(texts, padding=“max_length”, …)
I was trying to find out what are the possible values for “padding” i.e. True, “max_length” …?  I can’t seem to find it.  I was expected to find it here
  
      

      huggingface.co
  

  
    

BERT

  Overview: The BERT model was proposed in BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding by Jacob Devlin, Ming-Wei Chang, Ke...


  

  
    
    
  

  


But no relevant documentation.
Please direct me to the documentation.
Thanks