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Pinferencia – Serving a model with REST API

xsmile 发布于 2个月前 分类:Python

from GitHub - underneathall/pinferencia: Python + Inference - Model Deployment library in Python. Simplest model inference server ever.

Pinferencia?tries to be the simplest machine learning inference server ever!

Three extra lines and your model goes online.

Serving a model with REST API has never been so easy.

If you want to

  • find a?simple but robust?way to serve your model
  • write?minimal?codes while maintain controls over you service
  • avoid?any?heavy-weight?solutions
  • compatible?with other tools/platforms

You're at the right place.

Features

Pinferencia?features include:

  • Fast to code, fast to go alive. Minimal codes needed, minimal transformation needed. Just based on what you have.
  • 100% Test Coverage: Both statement and branch coverages, no kidding. Have you ever known any model serving tool so seriously tested?
  • Easy to use, easy to understand.
  • Automatic API documentation page. All API explained in details with online try-out feature.
  • Serve any model, even a single function can be served.
  • Support Kserve API, compatible with Kubeflow, TF Serving, Triton and TorchServe. There is no pain switching to or from them, and?Pinferencia?is much faster for prototyping!

Install

pip install "pinferencia[uvicorn]"

Quick Start

Serve Any Model

from pinferencia import Server


class MyModel:
    def predict(self, data):
        return sum(data)


model = MyModel()

service = Server()
service.register(model_name="mymodel", model=model, entrypoint="predict")

Just run:

uvicorn app:service --reload

Hooray, your service is alive. Go to?http://127.0.0.1.abctoons.com:8000/?and have fun.

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