Vetiver
The goal of vetiver is to provide fluent tooling to version, deploy, and monitor a trained model. Functions handle creating model objects, versioning models, predicting from a remote API endpoint, deploying Dockerfiles, and more.
View moreExample
import spacy from vetiver import VetiverModel, VetiverAPI # If you use this model, you'll need to download it first: # python -m spacy download en_core_web_md nlp = spacy.load('en_core_web_md') # Create deployable model object with your nlp Language object v = VetiverModel(nlp, model_name = 'my_model') # Try out your API endpoint locally VetiverAPI(v).run()
GitHubrstudio/vetiver-python
Categories apis standalone
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