Skip to main content

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

Project description

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

python -m pip install inference-server

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

inference-server-1.1.0.tar.gz (28.4 kB view details)

Uploaded Source

Built Distribution

inference_server-1.1.0-py3-none-any.whl (18.1 kB view details)

Uploaded Python 3

File details

Details for the file inference-server-1.1.0.tar.gz.

File metadata

  • Download URL: inference-server-1.1.0.tar.gz
  • Upload date:
  • Size: 28.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.7

File hashes

Hashes for inference-server-1.1.0.tar.gz
Algorithm Hash digest
SHA256 c76358b59596c5ecb962ca1037ef39a78e0585f5a3f04ad887bdb8eeb5e9dcd7
MD5 583162f9c46238ecfde37e658ec41767
BLAKE2b-256 d60769e714e98ed309e1fcd21e5807d0664e9083c310293babb1e9b24eb648f3

See more details on using hashes here.

File details

Details for the file inference_server-1.1.0-py3-none-any.whl.

File metadata

File hashes

Hashes for inference_server-1.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 caf1ef2eb3f94cc2d532bd1cc5bf45fa3dfd55805d46aad3fbd463cee681845d
MD5 01e913ef351b2aee24f59c144edf353c
BLAKE2b-256 09f7896ec08da2ef9e2d03e7305db000f1dd3d38f6cf20cf3746bf55a0457fe6

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page