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


Release history Release notifications | RSS feed

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_nightly-2024.5.27-py3-none-any.whl (24.3 MB view details)

Uploaded Python 3

File details

Details for the file torchserve_nightly-2024.5.27-py3-none-any.whl.

File metadata

File hashes

Hashes for torchserve_nightly-2024.5.27-py3-none-any.whl
Algorithm Hash digest
SHA256 a178479284888f0ccf4e740906b4e3870e1c62aade266ad864137b21a4311419
MD5 773a23633c59501d2e8c72f87509be6d
BLAKE2b-256 7cf2344fd078729c3f809fe664b2b48f957c6dc0ede040d1cf70d82ba45a6ffa

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