Hi Keras team - I'm interested in contributing documentation on serving trained Keras models via REST API with bentoml/BentoML and deploying the model server to Kubernetes. BentoML is an open-source tool I've been working on, for high-performance model serving.
I noticed this is not something in the "call for contributions" list, so before I started, I would love to understand if the topic "model deployment / productionizing trained model" is something Keras team would be interested in adding to https://keras.io/guides/ and if so, where does it fit best in there.
Hi Keras team - I'm interested in contributing documentation on serving trained Keras models via REST API with bentoml/BentoML and deploying the model server to Kubernetes. BentoML is an open-source tool I've been working on, for high-performance model serving.
I'm thinking of contributing a guide similar to the documentation we are adding for FastAI here, and it will be based on one of the BentoML's Keras example notebooks: https://docs.bentoml.org/en/latest/examples.html#tensorflow-keras, e.g. the BentoML Keras example project: Movie Review Sentiment with BERT https://github.com/bentoml/gallery/blob/master/tensorflow/bert/bert_movie_reviews.ipynb
I noticed this is not something in the "call for contributions" list, so before I started, I would love to understand if the topic "model deployment / productionizing trained model" is something Keras team would be interested in adding to https://keras.io/guides/ and if so, where does it fit best in there.