How to Install LMS on macOS

LMS is a lightweight and simple web-based language model server used to serve deep learning models with an HTTP API. This tutorial will guide you through the process of installing LMS on macOS.

Prerequisites

Before you begin, ensure that:

• You have a macOS machine with admin privileges
• You have working knowledge of basic Unix commands
• You have Python 3.6 or higher installed on your system.

Step 1: Clone LMS Repository

Use Terminus to navigate to a working directory and clone the LMS repository using Git.

cd ~/Documents
git clone https://github.com/epoupon/lms.git

Step 2: Install Dependencies

Navigate to the root directory of the cloned repository and install the required dependencies with Pip.

cd lms
pip install -r requirements.txt

Step 3: Starting LMS Server

After installation, start the LMS server by running the following command.

./lms start

You can also use the flags -m or --model to specify the path to the location of your pre-trained model.

./lms start -m path/to/your/model

By default, LMS runs on http://localhost:8080.

Step 4: Testing the LMS Server

To test if LMS is running correctly, use the following curl command in a different terminal window:

curl -H "Content-Type: application/json" -X POST -d "{\"texts\": [\"hello world\"]}" http://localhost:8080/generate

This should produce the following JSON output: {"generated_text": ["hello world\\n"]}

Congratulations, you've installed LMS on macOS and tested it!

Conclusion

This tutorial has provided you with a step-by-step guide on how to install LMS on macOS. With LMS, you can now serve deep learning models with an HTTP API. Enjoy exploring the possibilities of LMS with your pre-trained models!

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