inference-server 1.3.3

Deploy your AI/ML model to Amazon SageMaker for Real-Time Inference and Batch Transform using your own Docker container image.

inference-server

Deploy your AI/ML model to Amazon SageMaker for Real-Time Inference and Batch Transform using your own Docker container image.

:blue_book: Documentation: https://inference-server.readthedocs.io

Installing

Using package managers like Pip or Poetry:

python -m pip install inference-server

Using package managers like Conda or Mamba:

conda install conda-forge::inference-server

See https://github.com/conda-forge/inference-server-feedstock for details.

Developing

To setup a scratch/development virtual environment (under .venv/), first install Tox. Then run:

tox -e dev

The inference-server package is installed in editable mode inside the .venv/ environment.

Run tests by simply calling tox.

Install code quality Git hooks using pre-commit install --install-hooks.

Terms & Conditions

Copyright 2023 J.P. Morgan Chase & Co.

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

Contributing

See CONTRIBUTING.md