# Commands for training NER-Model in prodigy

**URL:** <https://support.prodi.gy/t/commands-for-training-ner-model-in-prodigy/5227>\
**Category:** Uncategorized\
**Tags:** usage, ner, solved, training\
**Created:** [January 24, 2022, 11:15am UTC](https://support.prodi.gy/t/commands-for-training-ner-model-in-prodigy/5227 "2022-01-24T11:15:54Z")\
**Posts on this page:** 1\
**Showing post:** 6

<div class="post-metadata">

**Author:** ![ines](https://sea2.discourse-cdn.com/flex020/user_avatar/support.prodi.gy/ines/32/3_2.png) [@ines](https://support.prodi.gy/u/ines)\
**Post date:** [January 25, 2022, 12:07pm UTC](https://support.prodi.gy/t/commands-for-training-ner-model-in-prodigy/5227/6 "2022-01-25T12:07:16Z")

</div>

In that case, you can just use the `--base-model` argument, e.g. `--base-model /path/to/your/model`. In general, we'd recommend retraining a model on all annotations from scratch, rather than updating a previously trained artifact, since this will give you better and more reliable results. But the base model setting can still be useful if you want to update one of the trained pipelines provided by spaCy etc.

---

_[View the full topic](https://support.prodi.gy/t/commands-for-training-ner-model-in-prodigy/5227)._