mobilebert uncased mnli EU AI Act Compliance Profile

https://huggingface.co/typeform/mobilebert-uncased-mnli 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: Zero-shot classification with MobileBERT.

import { pipeline } from '@huggingface/transformers';

const classifier = await pipeline('zero-shot-classification', 'Xenova/mobilebert-uncased-mnli');
const output = await classifier(
    'I love transformers!', 
    ['positive', 'negative']
);

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).

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Library

Base Model