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
1 maintainer
Release files for torchserve-nightly 2025.2.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| torchserve_nightly-2025.2.7-py3-none-any.whl | Python 3 | none | any | Details |
Release files / torchserve_nightly-2025.2.7-py3-none-any.whl
| Download URL | torchserve_nightly-2025.2.7-py3-none-any.whl |
|---|---|
| Size | 42.2 MB |
| Tags | Python 3 |
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