
gradient-cli
The command line interface for Gradient - https://gradient.paperspace.com
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Gradient CLI is a tool designed to facilitate the end-to-end MLOps process, allowing individuals and organizations to develop, train, and deploy Deep Learning models efficiently. It supports various ML/DL frameworks and provides features such as 1-click Jupyter Notebooks, scalable model training workflows, and model deployment as API endpoints. The tool can run on different infrastructures like AWS, GCP, on-premise, and Paperspace GPUs, offering automatic versioning, distributed training, hyperparameter search, and more.
README:
Note We are rolling out a new streamlined Paperspace CLI and recommend using this new CLI for all new projects.
Get started: Create Account • Install CLI • Tutorials • Docs
Resources: Website • Blog • Support • Contact Sales
Gradient is an an end-to-end MLOps platform that enables individuals and organizations to quickly develop, train, and deploy Deep Learning models. The Gradient software stack runs on any infrastructure e.g. AWS, GCP, on-premise and low-cost Paperspace GPUs. Leverage automatic versioning, distributed training, built-in graphs & metrics, hyperparameter search, GradientCI, 1-click Jupyter Notebooks, our Python SDK, and more.
Key components:
- Notebooks: 1-click Jupyter Notebooks.
- Workflows: Train models at scale with composable actions.
- Inference: Deploy models as API endpoints.
Gradient supports any ML/DL framework (TensorFlow, PyTorch, XGBoost, etc).
See releasenotes.md for details on the current release, as well as release history.
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Make sure you have a Paperspace account set up. Go to http://paperspace.com to register and generate an API key.
-
Use pip, pipenv, or conda to install the gradient package, e.g.:
pip install -U gradient
To install/update prerelease (Alpha/Beta) version version of gradient, use:
pip install -U --pre gradient
-
Set your api key by executing the following:
gradient apiKey <your-api-key-here>
Note: your api key is cached in ~/.paperspace/config.json
You can remove your cached api key by executing:
gradient logout
The Gradient CLI follows a standard [command] [--options] syntax
For example, to create a new Workflow in a project use:
gradient projects list
gradient workflows create --name <name> --projectId <project-id>
For a full list of available commands run gradient workflows --help
. You can also view more info about Workflows in the docs.
Want to contribute? Contact us at [email protected]
Have a Paperspace QA tester install your change directly from the branch to test it.
They can do it with pip install git+https://github.com/Paperspace/gradient-cli.git@MYBRANCH
.
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