metadata
base_model: apple/mobilevit-small
library_name: transformers.js
https://huggingface.co/apple/mobilevit-small with ONNX weights to be compatible with Transformers.js.
Usage (Transformers.js)
If you haven't already, you can install the Transformers.js JavaScript library from NPM using:
npm i @huggingface/transformers
Example: Perform image classification with Xenova/mobilevit-small
import { pipeline } from '@huggingface/transformers';
// Create an image classification pipeline
const classifier = await pipeline('image-classification', 'Xenova/mobilevit-small', {
dtype: "fp32",
});
// Classify an image
const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/tiger.jpg';
const output = await classifier(url);
console.log(output);
// [{ label: 'tiger, Panthera tigris', score: 0.7868736982345581 }]
Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we recommend converting to ONNX using 🤗 Optimum and structuring your repo like this one (with ONNX weights located in a subfolder named onnx).