Quick start
Deploy sample AI model using Syndicai Platform
Yolo V5 model prediction
In this super-fast tutorial, you will deploy one of the most popular object detection algorithms YoloV5 with just a click of a button.
Impossible? Let's do it!

Requirements

You just need 5min to go through the quick start.
    No need to prepare your own model.
    No need to have access to any cloud.
    No need to fork the repository.

Tutorial

Step 1 - Connect repository

    1.
    Go to the YoloV5 repository, and click the Syndicai Deploy button. You will be redirected to the Syndicai Platform.
    2.
    Fill the form by adding some Name and Description of your model, and press Add button.
    3.
    The platform will connect to the repository and add your YoloV5 model to the platform.

Step 2 - Build & deploy

    1.
    In the next step, press Build a Model button which is on the page with Model Details.
    2.
    After a couple of minutes, you will see the yellow dot next to the build name, which means that the model is building. You can open logs by clicking on the menu, next to the build.
    3.
    When your build change to green you can choose in the build Menu Deploy.
    4.
    After a couple of minutes, your deployment will have the status Active.

Step 3 - Run a deployment

With Active status of your deployment, you can run a model using the following REST API (Don't forget to change the deployment URL address to yours!)
1
curl -X POST https://***.syndic.ai \
2
-H 'content-type: application/json' \
3
-d '{"url": "https://images.pexels.com/photos/2083866/pexels-photo-2083866.jpeg?auto=compress&cs=tinysrgb&h=750&w=1260"}'
Copied!

Conlusion - What just happend?!

    1.
    We took a deep learning model that was:
      1.
      trained,
      2.
      prepared (syndicai.py & requirements.txt),
      3.
      placed in git repository
    2.
    By clicking a button Syndicai Deploy a git repository with your model was connected to the platform and the whole environment and infrastructure were automatically created during the deployment process.

What's next?

Integrate API

Copy & paste REST API of the model (which at the bottom of the Model Profile Page) and integrate with any kind of device you want.

Create a Showcase

With generated API you can create a Showcase website based on your deployed models. In order to do it quickly, you can use our boilerplate and easily deliver your AI model in a stylish way.

Check other sample models

Go to our repository with prepared models ready-to-deploy in order to play a little more and explore how they are prepared so they can be easily deployed.

Deploy your model

You can also take any machine learning model you like and deploy it on the platform. In order to do it properly go to Develop section.
Last modified 2mo ago