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Xenova/deberta-v3-large-tasksource-nli
deberta-v3-large-tasksource-nli 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/sileod/deberta-v3-large-tasksource-nli with ONNX weights to be compatible with Transformers.js.
Downloads · 30 days
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.onnx6.4 GB · 100%
From the Hugging Face model README
https://huggingface.co/sileod/deberta-v3-large-tasksource-nli with ONNX weights to be compatible with 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('zero-shot-classification', 'Xenova/deberta-v3-large-tasksource-nli');
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).