Instructions to use onnx-community/multilingual-IPTC-news-topic-classifier-ONNX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use onnx-community/multilingual-IPTC-news-topic-classifier-ONNX with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('text-classification', 'onnx-community/multilingual-IPTC-news-topic-classifier-ONNX');
multilingual-IPTC-news-topic-classifier (ONNX)
This is an ONNX version of classla/multilingual-IPTC-news-topic-classifier. It was automatically converted and uploaded using this space.
Usage (Transformers.js)
If you haven't already, you can install the Transformers.js JavaScript library from NPM using:
npm i @huggingface/transformers
Example: Text classification with a multilingual news topic classifier.
import { pipeline } from '@huggingface/transformers';
const classifier = await pipeline('text-classification', 'onnx-community/multilingual-IPTC-news-topic-classifier-ONNX');
const output = await classifier('I love transformers!');
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Model tree for onnx-community/multilingual-IPTC-news-topic-classifier-ONNX
Base model
FacebookAI/xlm-roberta-large