- Serving Quick Start - Basic server usage tutorial
- Model Archive Quick Start - Tutorial that shows you how to package a model archive file.
- Installation - Installation procedures
- Serving Models - Explains how to use
torchserve.- REST API - Specification on the API endpoint for TorchServe
- Packaging Model Archive - Explains how to package model archive file, use
model-archiver. - Logging - How to configure logging
- Metrics - How to configure metrics
- Batch inference with TorchServe - How to create and serve a model with batch inference in TorchServe
- Model Snapshots - Describes how to use snapshot feature for resiliency due to a planned or unplanned service stop
- Advanced settings - Describes advanced TorchServe configurations.
- Custom Model Service - Describes how to develop custom inference services.
- Unit Tests - Housekeeping unit tests for TorchServe.
- Benchmark - Use JMeter to run TorchServe through the paces and collect benchmark data
- Image Classifier - This handler takes an image and returns the name of object in that image
- Text Classifier - This handler takes a text (string) as input and returns the classification text based on the model vocabulary
- Object Detector - This handler takes an image and returns list of detected classes and bounding boxes respectively
- Image Segmenter - This handler takes an image and returns output shape as [CL H W], CL - number of classes, H - height and W - width