TorchServe is a flexible and easy to use tool for
serving PyTorch <http://pytorch.org/>__ 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.
Full installation instructions are in the project repo: https://github.com/pytorch/serve/blob/master/README.md
You can check the latest source code as follows:
::
git clone https://github.com/pytorch/serve.git
If you use torchserve in a publication or project, please cite torchserve: https://github.com/pytorch/serve
FAQs
TorchServe is a tool for serving neural net models for inference
We found that torchserve-nightly demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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