Welcome to the Model Conversion Toolkit! This guide provides essential information on converting machine learning models between different formats. Whether you're working with PyTorch, TensorFlow, ONNX, or other frameworks, this tool simplifies the process of model interoperability.

Supported Formats

  • PyTorch (.pt, .pth)
  • TensorFlow (.pb, .h5)
  • ONNX (.onnx)
  • TFLite (.tflite)
  • Keras (.h5)
Model Conversion Flow

Conversion Steps

  1. Upload your model file
  2. Select source and target formats
  3. Generate conversion configuration
  4. Download the converted model

Use Cases

  • Migrating models between research and production environments
  • Deploying models on edge devices with TFLite support
  • Integrating models into new frameworks using ONNX

Notes

⚠️ Ensure model compatibility before conversion.
🔗 For detailed instructions, check our Model Conversion Guide

AI Model Application

Need help with specific conversions? Explore our documentation for more tools and examples!