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Xenova/
xlm-r-100langs-bert-base-nli-stsb-mean-tokens

Name: xlm-r-100langs-bert-base-nli-stsb-mean-tokens
Availability: InStock

sentence-transformers/xlm-r-100langs-bert-base-nli-stsb-mean-tokens

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https://huggingface.co/sentence-transformers/xlm-r-100langs-bert-base-nli-stsb-mean-tokens 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: Run feature extraction.

import { pipeline } from '@huggingface/transformers';

const extractor = await pipeline('feature-extraction', 'Xenova/xlm-r-100langs-bert-base-nli-stsb-mean-tokens');
const output = await extractor('This is a simple test.');

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).