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Model Training Tutorial

Learn how to train a model using Clarifai Python SDK

Model training using the Clarifai Python SDK involves the utilization of Clarifai's powerful and user-friendly software development kit to create, train, and fine-tune machine-learning models for various tasks. The Clarifai SDKs simplifies the process of incorporating cutting-edge machine learning capabilities into your applications, making it accessible for developers with different levels of expertise.

The Clarifai Python SDK allows you to define and configure your custom models, tailoring them to specific recognition requirements. Whether you're working on image classification, object detection, or any other task, Clarifai SDKs empowers you to design models that align with your application's unique needs.After defining the model architecture, you can initiate the training process using the Clarifai Python SDK. Clarifai's platform employs state-of-the-art algorithms and deep learning techniques to iteratively improve model performance over time. During training, the SDK provides valuable feedback on the model's progress, allowing you to monitor metrics such as accuracy and loss.

Prerequisites​

  • Setting up the Clarifai SDKs along with PAT . Refer the installation and configuration with PAT token here.
note

Guide to get your PAT

  • Clone the Clarifai Examples repository to get the data files required for the training demo.
!git clone https://github.com/Clarifai/examples.git  
%cd /content/examples/
info

To run on a local system use: cd examples/

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