# Bert Tokenizer Parameter Possible Values

**URL:** <https://discuss.huggingface.co/t/bert-tokenizer-parameter-possible-values/10613>\
**Category:** 🤗Transformers\
**Created:** [October 8, 2021, 8:58am UTC](https://discuss.huggingface.co/t/bert-tokenizer-parameter-possible-values/10613 "2021-10-08T08:58:18Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![demoacct](https://avatars.discourse-cdn.com/v4/letter/d/bbce88/32.png) [@demoacct](https://discuss.huggingface.co/u/demoacct)\
**Post date:** [October 8, 2021, 8:58am UTC](https://discuss.huggingface.co/t/bert-tokenizer-parameter-possible-values/10613/1 "2021-10-08T08:58:18Z")

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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

> **[BERT](https://huggingface.co/docs/transformers/model_doc/bert?highlight=berttokenizer)**
>
> We’re on a journey to advance and democratize artificial intelligence through open source and open science.

But no relevant documentation.

Please direct me to the documentation.

Thanks