metadata
base_model: Narsil/deberta-large-mnli-zero-cls
library_name: transformers.js
pipeline_tag: zero-shot-classification
https://huggingface.co/Narsil/deberta-large-mnli-zero-cls 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.
import { pipeline } from '@huggingface/transformers';
const classifier = await pipeline('zero-shot-classification', 'Xenova/deberta-large-mnli-zero-cls');
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).