What are ONNX.js models and how can I use them?
ONNX.js models are machine learning models that can be run in the browser using ONNX.js, a JavaScript library. They allow you to leverage pre-trained models for tasks like image recognition and natural language processing directly in web applications.
Can you give me an example of a model I can use?
Sure! A common example is the MobileNet model, which is used for image classification. You can load it using ONNX.js and use it to identify objects in images.
How do I load an ONNX model in my JavaScript application?
To load an ONNX model, you can use the onnx.loadModel
function provided by ONNX.js. You'll need to provide the model's URL and then you can run inference on it.
Are there any performance considerations I should be aware of?
Yes, performance can vary based on the model size and complexity. It's important to optimize your models for the web, possibly by using quantization or pruning techniques.
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