# Products text classification

**URL:** </static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fproducts-text-classification%2F32218%3E%5C
**Category:** Beginners\
**Created:** [February 21, 2023, 8:58pm UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fproducts-text-classification%2F32218 "2023-02-21T20:58:34Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![yasserreslan](https://avatars.discourse-cdn.com/v4/letter/y/e47c2d/32.png) [@yasserreslan](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2Fyasserreslan)%5C
**Post date:** [February 21, 2023, 8:58pm UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fproducts-text-classification%2F32218%2F1 "2023-02-21T20:58:34Z")

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Hello world!  
I would like to ask for guidance for building a text classifier using one of huggingFace’s text models. The model’s purpose is to classify product names (For example: Maccaw Apple Juice 200ML) into categories (matching example category: drink).  
What are the possible models i could use that would be most efficient to complete this task and what kind of data would I need?

Any kind of help is appreciated!