Skip to main content

Deploy your AI/ML model to Amazon SageMaker for real-time inference using your own Docker container image.

Project description

inference-server

Deploy your AI/ML model to Amazon SageMaker for real-time inference 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-1.0.2.tar.gz (25.7 kB view details)

Uploaded Source

Built Distribution

inference_server-1.0.2-py3-none-any.whl (17.0 kB view details)

Uploaded Python 3

File details

Details for the file inference-server-1.0.2.tar.gz.

File metadata

  • Download URL: inference-server-1.0.2.tar.gz
  • Upload date:
  • Size: 25.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.11.3

File hashes

Hashes for inference-server-1.0.2.tar.gz
Algorithm Hash digest
SHA256 7ef6188caf0858e5ea6dde156e4c84f733ca3bfd93318447e5b83626fac2b74b
MD5 5dabbfcf18c6348289d18018aeb34321
BLAKE2b-256 04825b0b574ff4dbcaec47749dde23342083d2c6d0ff18b73717e683439245e7

See more details on using hashes here.

File details

Details for the file inference_server-1.0.2-py3-none-any.whl.

File metadata

File hashes

Hashes for inference_server-1.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 2f8e00154231121310e5926c4f63c51f852f96d905f70409a3e2712a6ad5b2d7
MD5 9f64b33fa23607c8095d20d66fb7c579
BLAKE2b-256 878a61f7820a0eb7704b19aa1b833a4e85c15a41b81e91a84541a835102c10dc

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