# Application of TFBertTokenizer

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**Category:** 🤗Tokenizers\
**Created:** [November 21, 2022, 10:31am UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fapplication-of-tfberttokenizer%2F26437 "2022-11-21T10:31:26Z")\
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**Author:** ![realonbebeto](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/realonbebeto/32/12641_2.png) [@realonbebeto](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2Frealonbebeto)%5C
**Post date:** [November 21, 2022, 10:31am UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fapplication-of-tfberttokenizer%2F26437%2F1 "2022-11-21T10:31:26Z")

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I wish to use the TFBertTokenizer as a layer in my custom model where there is:

- Input Layer - Receiving String
- Tokenizer to process string tensor
- Bert model
- Other layers of my custom layer

The model is for classification problem and the intentions are to have a model that has both preprocessing as part of the model. I’m thinking this is possible since TFBertTokenizer is an in-graph tokenizer.

Please help.