BentoML
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bentoml
feature: Native SpaCy runner for v1.0.0 architecture
Feature request
BentoML previously supported SpaCy as one of its built-in runner types. However, with the introduction of the v1.0.0 release, native support for SpaCy was removed.
It would be great to have native support for a built-in SpaCy runner 🙂
Motivation
We've successfully deployed BentoML for a PyTorch-based image classification application, but also heavily use SpaCy in production. We'd like to move these SpaCy-based services over to BentoML, and having native support for SpaCy in BentoML would make this easier.
As a workaround, we plan to implement a custom runner for SpaCy for our use case. We'll try to reuse code from the previous implementation as much as possible.
Other
Since we'll already be writing a (custom) SpaCy runner, we may be able to contribute our implementation to BentoML if that would be of interest
