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Environment Installation

In order to enable users to interact with the Beimingwu system easily and efficiently, we provide a series of simple and user-friendly interfaces in the learnware Python package. With just a few lines of code, everyone can implement functions such as "learnware specification generation", "learnware search", and "learnware deployment".

Install via pip

The learnware package is currently avabilable on the PyPI, and its specific installation method is as follows:

pip install learnware

Additionally, to ensure the latest learnware package, you can also specify the version and mirror source during installation:

pip install learnware==0.2.0.9 -i https://pypi.tuna.tsinghua.edu.cn/simple

Install from Source Code

The source code for the learnware package is also available on both Gitee and Github platforms. Users can download the source code from either platform for installation. Here is an example when using the Github platform:

git clone https://github.com/Learnware-LAMDA/Learnware.git
cd Learnware
git fetch origin main
git checkout main
pip install -e .

Important Notes

In the learnware package, besides the base classes, many core functionalities such as "learnware specification generation" and "learnware deployment" rely on the torch library. Users have the option to manually install torch, or they can directly use the following command to install the learnware package:

pip install learnware[full]

However, it's crucial to note that due to the potential complexity of the user's local environment, installing learnware[full] does not guarantee that torch will successfully invoke CUDA in the user's local setting.