space
Login to use AutoTrain for custom model training
One-Stop Gemma Model Fine-tuning, Quantization & Conversion
Perform basic tasks like code generation, file conversion, and system diagnostics
YoloV1 by luismidv
First attempt
Set up and launch an application from a GitHub repo
Fine-tune LLMs to generate clear, concise, and natural language responses
Create powerful AI models without code
Float16 to covert
Load and activate a pre-trained model
Fine Tuning sarvam model
yqqwrpifr-1
Space is a powerful tool designed for fine-tuning AI models. It allows users to select and configure training tasks to adapt models to specific requirements. This tool simplifies the process of customizing AI models, making it accessible to both technical and non-technical users. With Space, you can optimize your models for improved performance and better alignment with your goals.
• Task Customization: Select from a variety of training tasks to fine-tune your model. • Parameter Configuration: Adjust model parameters to achieve optimal results. • Real-Time Monitoring: Track training progress and performance metrics. • Version Control: Save and manage different versions of your fine-tuned models. • Integration Support: Seamlessly integrate with other AI systems and workflows.
What types of tasks can I fine-tune my model for?
Space supports a wide range of tasks, including but not limited to natural language processing, computer vision, and generative modeling. You can customize the model to suit your specific use case.
Can I use Space for large-scale models?
Yes, Space is designed to handle models of varying sizes, from smaller models to large-scale architectures. It offers scalable solutions to accommodate your needs.
How do I monitor the fine-tuning process?
Space provides real-time monitoring tools, allowing you to track metrics like accuracy, loss, and training speed. This helps you identify potential issues and adjust settings as needed.