Fine-tune your custom data using Google Cloud Platform (GCP) and Vertex AI.
This project aims to provide a streamlined process for fine-tuning models with custom data using Google Cloud Platform (GCP) services, particularly leveraging Vertex AI. Fine-tuning models is crucial for various machine learning tasks, such as improving the performance of pre-trained models on specific domains or tasks.
- Efficient Fine-tuning: Utilize the power of Google Cloud Platform for efficient fine-tuning of machine learning models.
- Custom Dataset Support: Easily integrate your custom dataset for fine-tuning tasks.
- Scalability: Scale your fine-tuning process seamlessly with GCP's infrastructure.
- Vertex AI Integration: Harness the capabilities of Vertex AI for model training and deployment.
- Monitoring and Logging: Monitor and log fine-tuning experiments for better tracking and analysis.
- Cost-effectiveness: Optimize costs with efficient resource utilization on Google Cloud.
- Google Cloud Platform account
- Access to Vertex AI services
- Basic knowledge of machine learning and TensorFlow (or any other framework of your choice)
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Clone this repository:
git clone https://github.com/leodeveloper/fine-tune-with-google-cloud
#for any help please write leodevelopergcp@gmail.com