metadata
base_model: facebook/bart-large-mnli
library_name: transformers.js
pipeline_tag: zero-shot-classification
https://huggingface.co/facebook/bart-large-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 text classification.
import { pipeline } from '@huggingface/transformers';
const classifier = await pipeline('text-classification', 'Xenova/bart-large-mnli');
const output = await classifier('I love transformers!', {
candidate_labels: ['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).