Xenova's picture
Xenova HF Staff
Add/update the quantized ONNX model files and README.md for Transformers.js v3 (#1)
8b0ea66 verified
metadata
base_model: typeform/mobilebert-uncased-mnli
library_name: transformers.js
pipeline_tag: zero-shot-classification

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).