Package profile
torch-model-archiver
- Summary: Torch Model Archiver is used for creating archives of trained neural net models that can be consumed by TorchServe inference
- Author: PyTorch Serving team
- License: Apache License Version 2.0
- Homepage: https://github.com/pytorch/serve/blob/master/model-archiver
- Source: https://github.com/pytorch/serve
- Number of releases: 25
- First release: 0.1.0b20200409 on 2020-04-21
- Latest release: 0.12.0 on 2024-09-30
- Latest release size: 15.7 KB (pure Python wheel)
Dependencies
Torch-model-archiver has one dependency (non-optional).View all 1 dependencies →Dependent packages
| Package | Optional | Group |
|---|---|---|
| torchx | true | dev |
Similar packages
- torchvisionimage and video datasets and models for torch deep learning
- compressed-tensorsLibrary for utilization of compressed safetensors of neural network models
- mxnetApache MXNet is an ultra-scalable deep learning framework. This version uses openblas and MKLDNN.
- timmPyTorch Image Models
- pytorch-lightningPyTorch Lightning is the lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate.
- onnxruntimeONNX Runtime is a runtime accelerator for Machine Learning models
- onnxruntime-gpuONNX Runtime is a runtime accelerator for Machine Learning models