# NER and blank models

**URL:** <https://support.prodi.gy/t/ner-and-blank-models/1795>\
**Category:** Uncategorized\
**Tags:** usage, ner, spacy, solved\
**Created:** [July 17, 2019, 1:17pm UTC](https://support.prodi.gy/t/ner-and-blank-models/1795 "2019-07-17T13:17:45Z")\
**Posts on this page:** 1\
**Showing post:** 6

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**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:** [July 17, 2019, 5:51pm UTC](https://support.prodi.gy/t/ner-and-blank-models/1795/6 "2019-07-17T17:51:39Z")

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See here for details – you might have to remove a few whitespace spans from your data:

> [@ner.batch-train after ner.maual results error (Value error : \[E024\])](https://support.prodi.gy/t/ner-batch-train-after-ner-maual-results-error-value-error-e024/1677):
>
> I Manually trained few entities like Skill, Role, Employer … python3 -m prodigy ner.manual resume\_ner en\_core\_web\_lg /home/Desktop/sample.txt --label “SKILL,ROLE,EMPLOYER” And after started batch train python3 -m prodigy ner.batch-train resume\_ner en\_core\_web\_lg --output resume-model --label “SKILL,ROLE,EMPLOYER” --eval-split 0.2 --n-iter 6 --batch-size 8 Which results ValueError: [E024] Could not find an optimal move to supervise the parser. Usually, this means the GoldParse was not corre…

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