# Hugging Face Auto Train - POS vs NER

**URL:** <https://discuss.huggingface.co/t/hugging-face-auto-train-pos-vs-ner/59606>\
**Category:** 🤗AutoTrain\
**Created:** [October 23, 2023, 8:05pm UTC](https://discuss.huggingface.co/t/hugging-face-auto-train-pos-vs-ner/59606 "2023-10-23T20:05:13Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![gp48maz1](https://avatars.discourse-cdn.com/v4/letter/g/ed8c4c/32.png) [@gp48maz1](https://discuss.huggingface.co/u/gp48maz1)\
**Post date:** [October 23, 2023, 8:05pm UTC](https://discuss.huggingface.co/t/hugging-face-auto-train-pos-vs-ner/59606/1 "2023-10-23T20:05:13Z")

</div>

Using HuggingFace Auto Train tokenizer for the first time.

When I am selecting the columns to be used in my dataset I have to choose ‘words’ and ‘POS’; I am curious if this means this does not work well for NER models? Is the POS just a place holder and NER works fine; or should I just be using this for POS tasks. And I need to train a NER model manually?