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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.


Full installation instructions are in the project repo:

Source code

You can check the latest source code as follows:

git clone


If you use torchserve in a publication or project, please cite torchserve:

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