Skip to main content

TorchServe is a tool for serving neural net models for inference

Project description

TorchServe is a flexible and easy to use tool for serving PyTorch models in production.

Use the TorchServe CLI, or the pre-configured Docker images, to start a service that sets up HTTP endpoints to handle model inference requests.

Installation

Full installation instructions are in the project repo: https://github.com/pytorch/serve/blob/master/README.md

Source code

You can check the latest source code as follows:

git clone https://github.com/pytorch/serve.git

Citation

If you use torchserve in a publication or project, please cite torchserve: https://github.com/pytorch/serve

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

torchserve_ag-0.8.2b20230918-py3-none-any.whl (23.8 MB view details)

Uploaded Python 3

File details

Details for the file torchserve_ag-0.8.2b20230918-py3-none-any.whl.

File metadata

File hashes

Hashes for torchserve_ag-0.8.2b20230918-py3-none-any.whl
Algorithm Hash digest
SHA256 ed48f71aa1186f26b86bc7892ec3bad84fe74d2e5f2aef75751524359ff6d569
MD5 3f7ad27585ea9078c99e7513ddae1b0a
BLAKE2b-256 600d720a8d95339d18d020dc03c73c198e0ecba1534ce1081baeddd513a5f147

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