Running Machine Learning Models in the Browser Using onnxruntime-web

1. 1Install onnxruntime-web using npm or yarn to set up the environment
2. 2Convert your machine learning model to ONNX format using tools like TensorFlow or PyTorch
3. 3Load the ONNX model in the browser using onnxruntime-web
4. 4Run predictions or inferences on the model using JavaScript
5. 5Test and optimize the model for browser-specific constraints like memory and compute resources

Machine learning engineers and web developers can benefit from this approach to deploy AI models directly in the browser, reducing latency and improving user experience

💡 onnxruntime-web enables running machine learning models in the browser, reducing latency and improving security

🚀 Run ML models in the browser with onnxruntime-web! 🤖