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bart-large-mnli
Xenova/bart-large-mnli
bart-large-mnli is a zero-shot classification model from Xenova. Use it when you need labels you did not train the model on. It is set up for transformers.js.
https://huggingface.co/facebook/bart-large-mnli with ONNX weights to be compatible with Transformers.js.
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5.7 GB
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6
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.onnx4.8 GB · 100%
At a glance
- Task
- Zero-Shot Classification
- Library
- transformers.js
- Model type
- bart
- Access
- Public
- Created
- May 2, 2023
- Updated
- Jul 11, 2025
- SHA
- 71a9d2a7
Try a prompt
Base models
Model card
From the Hugging Face model README
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).
- Task
- Zero-Shot Classification
- Library
- transformers.js
- Type
- bart
- Created
- May 2, 2023
- Updated
- Jul 11, 2025