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rstudio / vetiver-python

Version, share, deploy, and monitor models.
https://rstudio.github.io/vetiver-python/stable/
MIT License
60 stars 17 forks source link

support spacy models #121

Closed isabelizimm closed 1 year ago

isabelizimm commented 1 year ago

for NLP, it would be nice to add support for spacy models

isabelizimm commented 1 year ago

Currently looking at the spaCy API docs, if using the nlp model itself, each model is from Thinc. The pipeline components are NOT Thinc models, but are using a predict method, much like the support of the other modeling frameworks in vetiver. I'm wondering if it is more useful for people to deploy the Thinc model itself, or the larger pipeline objects created with spaCy. There's also another option where we support Thinc models, which can wrap models like PyTorch or TensorFlow, and then support spaCy pipelines separately.