# Annotation using my own Spacy custom pipeline

**URL:** <https://support.prodi.gy/t/annotation-using-my-own-spacy-custom-pipeline/5399>\
**Category:** Uncategorized\
**Tags:** usage, ner, spacy, solved\
**Created:** [March 2, 2022, 12:19pm UTC](https://support.prodi.gy/t/annotation-using-my-own-spacy-custom-pipeline/5399 "2022-03-02T12:19:39Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![mauro\_svl](https://avatars.discourse-cdn.com/v4/letter/m/2bfe46/32.png) [@mauro\_svl](https://support.prodi.gy/u/mauro_svl)\
**Post date:** [March 2, 2022, 12:19pm UTC](https://support.prodi.gy/t/annotation-using-my-own-spacy-custom-pipeline/5399/1 "2022-03-02T12:19:39Z")

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Hello,

I have defined a basic custom pipeline in Spacy that remove accents, special characters, stop words, ecc and tokenize the text.  
Then what I have done is to use the API nlp.to\_disk(...) to export it, and moving all the custom code into a specific python file, I have tried to create a package using the Spacy CLI (python -m spacy package ...).  
The output of the previous command is now a folder that includes a folder dist, a folder with the name of the pipeline, a meta.json file and a setup.py file among the others.  
I am doing this because the next step would be to tag the text I have using Prodigy, but what I would like to do is to use my custom pipeline so it is applied before starting the NER step.

I saw that with the recipes such as ner.correct you can specify the spacy pipeline to be used. I have tried to use the one I exported but I always got some error such as for example "OSError: [E053] Could not read meta.json from en\_myP-3.1.0.tar.gz".

Can you please help me understanding what I am doing wrong? And how can I fix this?

Thank your for your help, it's very appreciated.

Regards,  
Mauro

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<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:** [March 2, 2022, 1:46pm UTC](https://support.prodi.gy/t/annotation-using-my-own-spacy-custom-pipeline/5399/2 "2022-03-02T13:46:17Z")

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Hi! When you run `spacy package`, it creates a pip-installable Python package. So to use it, you can run `pip install /path/to/en_myP-3.1.0.tar.gz`. After installation, you can then load the model via its name in Prodigy – in your case, `en_myP`.

Alternatively, you can also point Prodigy to a file path of the model data directory (the same directory you packaged with `spacy package`).