Understand the project
Practical overview
When it fits
Use TNT when developing a Python workflow for training models with PyTorch and you want to incorporate its training tools and utilities.
Who it is for
- Python developers working with PyTorch model training.
- Teams incorporating training utilities into PyTorch projects.
Documented uses
- Add TNT training tools and utilities to a PyTorch project.
- Install TNT through pip or conda.
Before you choose
Requirements & limits
- PyTorch is the required ecosystem, and the README advises installing it first if installation problems occur.
- The documented package options are pip and conda-forge; the README also gives a separate installation route from the master branch.
Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.
Source-based practical guide
Install TNT using pip or conda
Add the torchtnt package to a Python environment using one of the project’s documented package managers.
Before you start
- A Python environment with pip or conda.
- PyTorch installed first if installation issues arise.
Steps
Choose pip or conda as the package manager.
For pip, run the command below; for conda, run
conda install -c conda-forge torchtnt.pip install torchtnt
Expected outcome
The documented package installation command for TNT has been run.
Guide limitations
- The README advises installing PyTorch first if problems occur.
- The instructions do not describe a model-training run or verify that installation succeeds.
Evidence and transparency
Sources & review
Source record details
- Source availability
- Active
- Sources checked
- 16 October 2026
- Original website title
- meta-pytorch/tnt · Official homepage title · retained in its source language