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Machine Learning
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Creating or using a custom defined model with SpaCy

kashy
New Contributor III

I want to train and use a custom model with spaCy.   I don't know how to manage and create folders that the model would be need to save and load custom models and associated files (e.g. from DBFS)

It should be something like this but it doesn't accept a path from dbfs

nlp = spacy.load("/path/to/pipeline") # string path 

Any help appreciated

1 REPLY 1

kashy
New Contributor III

Thank you @Retired_mod did you mean to link another document regarding  how to use custom libraries and private packages with Model Serving to create model deployments with enterprise-grade security?

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