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

pip install learnware

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

pip install learnware==0.3.2 -i https://pypi.tuna.tsinghua.edu.cn/simple

pip install learnware==0.3.2 -i https://pypi.tuna.tsinghua.edu.cn/simple

Install from Source Code ​

The source code for the learnware package is concurrently released on both GitLink and Github platforms. Taking GitHub as an example, users can install it through the source code in the following manner:

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

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]

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.